MacBook Pro (16-inch, 2023)
Geekbench AI Score
4200
Single Precision Score
6775
Half Precision Score
5378
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | richh- |
| Upload Date | August 27 2025 07:00 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5349a) |
| 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 | 3.67 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1431
266.0 IPS |
|
|
Image Classification (HP)
|
100% |
2336
434.4 IPS |
|
|
Image Classification (Q)
|
96% |
1706
318.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1758
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2609
42.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2982
48.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12875
15.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
26561
31.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
20518
24.0 IPS |
|
|
Object Detection (SP)
|
100% |
1722
136.6 IPS |
|
|
Object Detection (HP)
|
97% |
2788
221.9 IPS |
|
|
Object Detection (Q)
|
94% |
1960
156.2 IPS |
|
|
Face Detection (SP)
|
100% |
3474
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
4816
57.2 IPS |
|
|
Face Detection (Q)
|
100% |
3376
40.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6061
46.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10891
84.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7151
55.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24992
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
39583
50.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31259
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5092
188.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6810
251.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4499
166.1 IPS |
|
|
Text Classification (SP)
|
100% |
2435
3.25 KIPS |
|
|
Text Classification (HP)
|
99% |
4119
5.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4039
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4701
81.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7755
134.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7216
124.7 IPS |
