MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
8762
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 25 2025 12:17 PM |
| Views | 10 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 11 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.06 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 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 | 18.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5188
970.9 IPS |
|
|
Image Classification (F16)
|
100% |
5623
1.05 KIPS |
|
|
Image Classification (I8)
|
99% |
5605
1.05 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2274
38.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
2377
39.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
2302
38.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
31679
38.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
35700
43.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
35166
42.6 IPS |
|
|
Object Detection (F32)
|
100% |
3423
255.5 IPS |
|
|
Object Detection (F16)
|
100% |
4236
316.2 IPS |
|
|
Object Detection (I8)
|
97% |
3406
254.3 IPS |
|
|
Face Detection (F32)
|
100% |
14496
172.4 IPS |
|
|
Face Detection (F16)
|
98% |
17511
208.2 IPS |
|
|
Face Detection (I8)
|
97% |
17705
210.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
21787
169.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
23906
185.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
23946
185.7 IPS |
|
|
Style Transfer (F32)
|
100% |
72426
95.3 IPS |
|
|
Style Transfer (F16)
|
100% |
83043
109.2 IPS |
|
|
Style Transfer (I8)
|
100% |
82991
109.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10662
380.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9594
342.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
10100
360.7 IPS |
|
|
Text Classification (F32)
|
100% |
2703
3.88 KIPS |
|
|
Text Classification (F16)
|
100% |
4449
6.39 KIPS |
|
|
Text Classification (I8)
|
96% |
4578
6.58 KIPS |
|
|
Machine Translation (F32)
|
100% |
1432
26.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1477
27.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1413
26.0 IPS |
