MacBook Pro (14-inch, 2023)
Geekbench AI Score
4001
Single Precision Score
6582
Half Precision Score
5231
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | ChrisMunson |
| Upload Date | September 08 2025 07:25 PM |
| Views | 2 |
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 | 3.37 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1373
255.4 IPS |
|
|
Image Classification (HP)
|
100% |
2206
410.2 IPS |
|
|
Image Classification (Q)
|
96% |
1625
303.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1586
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2488
40.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2747
44.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12323
14.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
25024
29.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
19664
23.0 IPS |
|
|
Object Detection (SP)
|
100% |
1610
127.7 IPS |
|
|
Object Detection (HP)
|
97% |
2563
204.0 IPS |
|
|
Object Detection (Q)
|
94% |
1851
147.5 IPS |
|
|
Face Detection (SP)
|
100% |
3348
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
5401
64.2 IPS |
|
|
Face Detection (Q)
|
100% |
3219
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5925
45.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10573
81.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7633
59.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24408
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38076
48.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30253
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5074
187.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6999
258.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4490
165.8 IPS |
|
|
Text Classification (SP)
|
100% |
2348
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
4074
5.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4065
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
4219
72.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7001
121.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6965
120.4 IPS |
