MacBook Pro (14-inch, 2023)
Geekbench AI Score
14214
Single Precision Score
15486
Half Precision Score
11708
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | August 29 2025 11:46 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.47 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6377
1.19 KIPS |
|
|
Image Classification (HP)
|
100% |
6406
1.19 KIPS |
|
|
Image Classification (Q)
|
99% |
6457
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12022
194.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
11854
192.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
12058
195.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
61924
72.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
66014
77.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
61196
71.7 IPS |
|
|
Object Detection (SP)
|
100% |
5966
473.3 IPS |
|
|
Object Detection (HP)
|
100% |
6365
504.9 IPS |
|
|
Object Detection (Q)
|
92% |
5912
471.9 IPS |
|
|
Face Detection (SP)
|
100% |
25220
299.7 IPS |
|
|
Face Detection (HP)
|
100% |
25731
305.7 IPS |
|
|
Face Detection (Q)
|
100% |
20917
248.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
29119
224.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
29851
230.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
5374
41.6 IPS |
|
|
Style Transfer (SP)
|
100% |
114347
147.0 IPS |
|
|
Style Transfer (HP)
|
100% |
130189
167.4 IPS |
|
|
Style Transfer (Q)
|
100% |
129478
166.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19876
733.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20961
774.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
18144
672.2 IPS |
|
|
Text Classification (SP)
|
100% |
2367
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
4089
5.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4051
5.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3009
51.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2901
50.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1607
27.8 IPS |
