MacBook Pro (14-inch, 2021)
Geekbench ML Score
7558
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 17 2024 03:02 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 13.6.9 (Build 22G830) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,4 |
| Motherboard | MacBookPro18,4 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 2.44 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4715
882.3 IPS |
|
|
Image Classification (F16)
|
100% |
7093
1.33 KIPS |
|
|
Image Classification (I8)
|
99% |
6990
1.31 KIPS |
|
|
Image Segmentation (F32)
|
100% |
792
13.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
4008
66.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
3907
65.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
53023
64.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
67047
81.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
67089
81.2 IPS |
|
|
Object Detection (F32)
|
100% |
2808
209.7 IPS |
|
|
Object Detection (F16)
|
100% |
3677
274.5 IPS |
|
|
Object Detection (I8)
|
97% |
1840
137.4 IPS |
|
|
Face Detection (F32)
|
100% |
13617
161.9 IPS |
|
|
Face Detection (F16)
|
97% |
14054
167.1 IPS |
|
|
Face Detection (I8)
|
96% |
15767
187.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
24501
190.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
28546
221.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
29408
228.1 IPS |
|
|
Style Transfer (F32)
|
100% |
72394
95.2 IPS |
|
|
Style Transfer (F16)
|
100% |
82318
108.3 IPS |
|
|
Style Transfer (I8)
|
100% |
84595
111.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11519
411.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
13023
465.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
11915
425.5 IPS |
|
|
Text Classification (F32)
|
100% |
512
736.5 IPS |
|
|
Text Classification (F16)
|
100% |
522
749.7 IPS |
|
|
Text Classification (I8)
|
96% |
524
753.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1292
23.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1317
24.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1289
23.7 IPS |
