MacBook Pro (14-inch, 2023)
Geekbench AI Score
4096
Single Precision Score
6647
Half Precision Score
5264
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 14 2025 12:56 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5279m) |
| 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 | 3.46 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1382
257.1 IPS |
|
|
Image Classification (HP)
|
100% |
2219
412.6 IPS |
|
|
Image Classification (Q)
|
96% |
1620
302.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1666
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2483
40.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2761
44.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12517
14.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
25983
30.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
19866
23.3 IPS |
|
|
Object Detection (SP)
|
100% |
1679
133.2 IPS |
|
|
Object Detection (HP)
|
97% |
2662
212.0 IPS |
|
|
Object Detection (Q)
|
94% |
1957
156.0 IPS |
|
|
Face Detection (SP)
|
100% |
3585
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
5880
69.9 IPS |
|
|
Face Detection (Q)
|
100% |
3296
39.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6089
46.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11185
86.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7907
61.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24879
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38672
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30978
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4896
180.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6357
234.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4353
160.7 IPS |
|
|
Text Classification (SP)
|
100% |
2343
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
3945
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3948
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
4411
76.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6931
119.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6782
117.2 IPS |
