MacBook Pro (16-inch, 2023)
Geekbench ML Score
4544
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | thomrou24 |
| Upload Date | February 03 2025 05:10 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| Model | MacBook Pro (16-inch, 2023) |
| Model ID | Mac14,10 |
| Motherboard | Mac14,10 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 8 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1368
255.9 IPS |
|
|
Image Classification (F16)
|
100% |
2239
419.1 IPS |
|
|
Image Classification (I8)
|
99% |
2238
418.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1068
17.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1348
22.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1347
22.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
12408
15.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
23056
27.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
23761
28.8 IPS |
|
|
Object Detection (F32)
|
100% |
1539
114.9 IPS |
|
|
Object Detection (F16)
|
100% |
2350
175.4 IPS |
|
|
Object Detection (I8)
|
97% |
1550
115.7 IPS |
|
|
Face Detection (F32)
|
100% |
3531
42.0 IPS |
|
|
Face Detection (F16)
|
97% |
5825
69.3 IPS |
|
|
Face Detection (I8)
|
97% |
5769
68.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
6324
49.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
12038
93.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
11499
89.2 IPS |
|
|
Style Transfer (F32)
|
100% |
24223
31.9 IPS |
|
|
Style Transfer (F16)
|
100% |
37148
48.9 IPS |
|
|
Style Transfer (I8)
|
100% |
37025
48.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5264
188.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7250
258.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7247
258.8 IPS |
|
|
Text Classification (F32)
|
100% |
2126
3.05 KIPS |
|
|
Text Classification (F16)
|
100% |
3711
5.33 KIPS |
|
|
Text Classification (I8)
|
96% |
3693
5.31 KIPS |
|
|
Machine Translation (F32)
|
100% |
1487
27.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1693
31.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1490
27.4 IPS |
