MacBook Pro (14-inch, 2023)
Geekbench AI Score
4056
Single Precision Score
6626
Half Precision Score
5314
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ___ |
| Upload Date | August 22 2025 04:07 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| Model | MacBook Pro (14-inch, 2023) |
| Model ID | Mac14,5 |
| Motherboard | Mac14,5 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1403
260.8 IPS |
|
|
Image Classification (HP)
|
100% |
2211
411.2 IPS |
|
|
Image Classification (Q)
|
96% |
1578
294.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1536
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2505
40.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2854
46.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12019
14.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
24126
28.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
18761
22.0 IPS |
|
|
Object Detection (SP)
|
100% |
1672
132.6 IPS |
|
|
Object Detection (HP)
|
97% |
2615
208.2 IPS |
|
|
Object Detection (Q)
|
94% |
1977
157.6 IPS |
|
|
Face Detection (SP)
|
100% |
3557
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
5745
68.3 IPS |
|
|
Face Detection (Q)
|
100% |
3325
39.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6123
47.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11392
88.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7922
61.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24819
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37032
47.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30163
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5036
186.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6435
237.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4508
166.5 IPS |
|
|
Text Classification (SP)
|
100% |
2330
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4105
5.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4090
5.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
4388
75.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7298
126.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7343
126.9 IPS |
