MacBook Pro (16-inch, 2023)
Geekbench AI Score
15200
Single Precision Score
16849
Half Precision Score
15499
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | fearlipe |
| Upload Date | November 05 2025 03:27 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| Model | MacBook Pro (16-inch, 2023) |
| Model ID | Mac14,6 |
| Motherboard | Mac14,6 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.68 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6965
1.30 KIPS |
|
|
Image Classification (HP)
|
100% |
6853
1.27 KIPS |
|
|
Image Classification (Q)
|
96% |
6264
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13894
225.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
13753
222.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
13123
212.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
81726
95.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
89134
104.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
87002
101.9 IPS |
|
|
Object Detection (SP)
|
100% |
6234
494.5 IPS |
|
|
Object Detection (HP)
|
100% |
6604
523.8 IPS |
|
|
Object Detection (Q)
|
92% |
6201
495.0 IPS |
|
|
Face Detection (SP)
|
100% |
27512
326.9 IPS |
|
|
Face Detection (HP)
|
100% |
28574
339.5 IPS |
|
|
Face Detection (Q)
|
100% |
25091
298.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
33161
255.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
34180
263.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
31191
243.6 IPS |
|
|
Style Transfer (SP)
|
100% |
133884
172.1 IPS |
|
|
Style Transfer (HP)
|
100% |
153472
197.3 IPS |
|
|
Style Transfer (Q)
|
96% |
149945
193.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19789
730.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23290
860.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20373
752.3 IPS |
|
|
Text Classification (SP)
|
100% |
2433
3.25 KIPS |
|
|
Text Classification (HP)
|
99% |
4216
5.63 KIPS |
|
|
Text Classification (Q)
|
93% |
4215
5.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
2271
39.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2259
38.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1790
30.9 IPS |
