MacBook Pro (16-inch, 2021)
Geekbench ML Score
6751
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 16 2024 12:00 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| Model | MacBook Pro (16-inch, 2021) |
| Model ID | MacBookPro18,2 |
| Motherboard | MacBookPro18,2 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.22 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4451
832.8 IPS |
|
|
Image Classification (F16)
|
100% |
4487
839.7 IPS |
|
|
Image Classification (I8)
|
99% |
3851
720.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1453
24.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1466
24.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1361
22.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
51766
62.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
55642
67.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
53669
65.0 IPS |
|
|
Object Detection (F32)
|
100% |
3450
257.6 IPS |
|
|
Object Detection (F16)
|
100% |
3481
259.9 IPS |
|
|
Object Detection (I8)
|
97% |
3189
238.1 IPS |
|
|
Face Detection (F32)
|
100% |
15873
188.7 IPS |
|
|
Face Detection (F16)
|
98% |
16945
201.5 IPS |
|
|
Face Detection (I8)
|
97% |
15571
185.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
25111
194.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
25527
198.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
23863
185.1 IPS |
|
|
Style Transfer (F32)
|
100% |
88811
116.8 IPS |
|
|
Style Transfer (F16)
|
100% |
95447
125.6 IPS |
|
|
Style Transfer (I8)
|
100% |
92968
122.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11795
421.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
12228
436.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9170
327.5 IPS |
|
|
Text Classification (F32)
|
100% |
952
1.37 KIPS |
|
|
Text Classification (F16)
|
100% |
468
673.1 IPS |
|
|
Text Classification (I8)
|
96% |
458
658.3 IPS |
|
|
Machine Translation (F32)
|
100% |
785
14.4 IPS |
|
|
Machine Translation (F16)
|
100% |
797
14.7 IPS |
|
|
Machine Translation (I8)
|
99% |
678
12.5 IPS |
