MacBook Pro (14-inch, 2023)
Geekbench AI Score
13951
Single Precision Score
15185
Half Precision Score
13658
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | rothomp3 |
| Upload Date | July 30 2025 02:59 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5316i) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6555
1.22 KIPS |
|
|
Image Classification (HP)
|
100% |
6585
1.22 KIPS |
|
|
Image Classification (Q)
|
96% |
5962
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12891
209.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
12652
205.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
11620
188.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
61811
72.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
66224
77.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
64090
75.1 IPS |
|
|
Object Detection (SP)
|
100% |
6017
477.2 IPS |
|
|
Object Detection (HP)
|
100% |
6320
501.3 IPS |
|
|
Object Detection (Q)
|
92% |
5963
476.0 IPS |
|
|
Face Detection (SP)
|
100% |
24840
295.2 IPS |
|
|
Face Detection (HP)
|
100% |
26108
310.2 IPS |
|
|
Face Detection (Q)
|
100% |
22630
268.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
28723
221.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
29342
226.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
26753
209.0 IPS |
|
|
Style Transfer (SP)
|
100% |
113891
146.4 IPS |
|
|
Style Transfer (HP)
|
100% |
129773
166.8 IPS |
|
|
Style Transfer (Q)
|
96% |
125492
161.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19525
720.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20462
755.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17650
651.7 IPS |
|
|
Text Classification (SP)
|
100% |
2400
3.20 KIPS |
|
|
Text Classification (HP)
|
99% |
3949
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3953
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2334
40.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2328
40.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1610
27.8 IPS |
