MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4692
Single Precision Score
7619
Half Precision Score
6042
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | December 23 2025 10:33 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,10 |
| Motherboard | Mac15,10 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1498
278.7 IPS |
|
|
Image Classification (HP)
|
100% |
2439
453.6 IPS |
|
|
Image Classification (Q)
|
96% |
1892
353.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1791
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2728
44.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3311
53.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15747
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
29848
34.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
23397
27.4 IPS |
|
|
Object Detection (SP)
|
100% |
1882
149.3 IPS |
|
|
Object Detection (HP)
|
97% |
2852
227.1 IPS |
|
|
Object Detection (Q)
|
94% |
2188
174.4 IPS |
|
|
Face Detection (SP)
|
100% |
3987
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
6828
81.1 IPS |
|
|
Face Detection (Q)
|
100% |
4042
48.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7095
54.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13213
102.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8612
67.3 IPS |
|
|
Style Transfer (SP)
|
100% |
30997
39.8 IPS |
|
|
Style Transfer (HP)
|
100% |
46914
60.3 IPS |
|
|
Style Transfer (Q)
|
96% |
36250
46.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5347
197.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7332
270.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4304
158.9 IPS |
|
|
Text Classification (SP)
|
100% |
2956
3.95 KIPS |
|
|
Text Classification (HP)
|
99% |
4934
6.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4961
6.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
4696
80.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7610
131.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7511
129.8 IPS |
