MacBook Pro (14-inch, 2023)
Geekbench ML Score
10872
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 07 2025 12:35 AM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (14-inch, 2023) |
| Model ID | Mac14,9 |
| Motherboard | Mac14,9 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4523
846.5 IPS |
|
|
Image Classification (F16)
|
100% |
11051
2.07 KIPS |
|
|
Image Classification (I8)
|
99% |
12236
2.29 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2065
34.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2416
40.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
2453
41.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
34363
41.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
90882
110.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
92577
112.1 IPS |
|
|
Object Detection (F32)
|
100% |
3184
237.7 IPS |
|
|
Object Detection (F16)
|
100% |
3996
298.3 IPS |
|
|
Object Detection (I8)
|
97% |
3115
232.6 IPS |
|
|
Face Detection (F32)
|
100% |
13634
162.1 IPS |
|
|
Face Detection (F16)
|
97% |
20398
242.5 IPS |
|
|
Face Detection (I8)
|
96% |
20461
243.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
22423
173.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
47129
365.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
48280
374.4 IPS |
|
|
Style Transfer (F32)
|
100% |
64736
85.2 IPS |
|
|
Style Transfer (F16)
|
100% |
140274
184.5 IPS |
|
|
Style Transfer (I8)
|
100% |
144215
189.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11166
398.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
29721
1.06 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
31322
1.12 KIPS |
|
|
Text Classification (F32)
|
100% |
2147
3.09 KIPS |
|
|
Text Classification (F16)
|
100% |
3637
5.23 KIPS |
|
|
Text Classification (I8)
|
96% |
3660
5.26 KIPS |
|
|
Machine Translation (F32)
|
100% |
983
18.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1321
24.3 IPS |
|
|
Machine Translation (I8)
|
99% |
979
18.0 IPS |
