MacBook Pro (14-inch, 2023)
Geekbench AI Score
4032
Single Precision Score
6629
Half Precision Score
5238
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | plasmadice |
| Upload Date | July 23 2025 03:16 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1374
255.5 IPS |
|
|
Image Classification (HP)
|
100% |
2261
420.5 IPS |
|
|
Image Classification (Q)
|
96% |
1649
307.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1650
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2503
40.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2842
46.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12580
14.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
24653
28.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
19024
22.3 IPS |
|
|
Object Detection (SP)
|
100% |
1622
128.7 IPS |
|
|
Object Detection (HP)
|
97% |
2619
208.5 IPS |
|
|
Object Detection (Q)
|
94% |
1903
151.7 IPS |
|
|
Face Detection (SP)
|
100% |
3435
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
5535
65.8 IPS |
|
|
Face Detection (Q)
|
100% |
3213
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5878
45.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11032
85.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7629
59.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24100
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38071
48.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30206
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5004
184.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6675
246.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4424
163.4 IPS |
|
|
Text Classification (SP)
|
100% |
2353
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
4065
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4024
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
4287
73.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7112
122.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6962
120.3 IPS |
