Centro - MacBook Pro (16-inch, 2023) MacBook Pro (16-inch, 2023)
Geekbench AI Score
4018
Single Precision Score
6744
Half Precision Score
5372
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | nugget |
| Upload Date | March 04 2026 03:42 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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 | 3.58 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1324
246.2 IPS |
|
|
Image Classification (HP)
|
100% |
2190
407.2 IPS |
|
|
Image Classification (Q)
|
96% |
1575
294.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1582
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2388
38.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2793
45.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11710
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
25618
29.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
19162
22.5 IPS |
|
|
Object Detection (SP)
|
100% |
1594
126.4 IPS |
|
|
Object Detection (HP)
|
97% |
2628
209.3 IPS |
|
|
Object Detection (Q)
|
94% |
1953
155.7 IPS |
|
|
Face Detection (SP)
|
100% |
3583
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
5847
69.5 IPS |
|
|
Face Detection (Q)
|
100% |
3424
40.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6098
47.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11618
89.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7970
62.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24792
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
39383
50.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31158
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4880
180.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6478
239.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4525
167.1 IPS |
|
|
Text Classification (SP)
|
100% |
2443
3.26 KIPS |
|
|
Text Classification (HP)
|
99% |
4087
5.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4040
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4351
74.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7804
134.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7822
135.2 IPS |
