MacBook Pro (16-inch, 2023)
Geekbench AI Score
4146
Single Precision Score
6704
Half Precision Score
5336
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | kei3000 |
| Upload Date | August 18 2025 01:52 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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% |
1399
260.2 IPS |
|
|
Image Classification (HP)
|
100% |
2251
418.7 IPS |
|
|
Image Classification (Q)
|
96% |
1691
315.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1694
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2532
41.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2934
47.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13085
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
25821
30.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
19755
23.2 IPS |
|
|
Object Detection (SP)
|
100% |
1677
133.0 IPS |
|
|
Object Detection (HP)
|
97% |
2633
209.6 IPS |
|
|
Object Detection (Q)
|
94% |
2012
160.4 IPS |
|
|
Face Detection (SP)
|
100% |
3548
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
5848
69.5 IPS |
|
|
Face Detection (Q)
|
100% |
3453
41.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6141
47.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11338
87.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7865
61.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24884
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38726
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
29921
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5057
186.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6518
240.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4512
166.6 IPS |
|
|
Text Classification (SP)
|
100% |
2383
3.18 KIPS |
|
|
Text Classification (HP)
|
100% |
4137
5.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4105
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
4423
76.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6839
118.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6314
109.1 IPS |
