MacBook Pro (14-inch, 2023)
Geekbench AI Score
13765
Single Precision Score
15246
Half Precision Score
13683
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 21 2025 11:47 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| 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 | 3.49 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6325
1.18 KIPS |
|
|
Image Classification (HP)
|
100% |
6392
1.19 KIPS |
|
|
Image Classification (Q)
|
96% |
5945
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12137
196.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
11989
194.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
11523
186.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
61649
71.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
66048
77.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
63990
75.0 IPS |
|
|
Object Detection (SP)
|
100% |
5965
473.1 IPS |
|
|
Object Detection (HP)
|
100% |
6224
493.7 IPS |
|
|
Object Detection (Q)
|
92% |
5946
474.6 IPS |
|
|
Face Detection (SP)
|
100% |
24876
295.6 IPS |
|
|
Face Detection (HP)
|
100% |
25487
302.8 IPS |
|
|
Face Detection (Q)
|
100% |
20102
238.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
28971
223.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
29704
228.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
27267
213.0 IPS |
|
|
Style Transfer (SP)
|
100% |
114319
147.0 IPS |
|
|
Style Transfer (HP)
|
100% |
129240
166.1 IPS |
|
|
Style Transfer (Q)
|
96% |
125793
162.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19775
730.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21002
775.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18803
694.3 IPS |
|
|
Text Classification (SP)
|
100% |
2357
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
4111
5.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4135
5.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
2254
38.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2551
43.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1647
28.5 IPS |
