MacBook Pro (14-inch, 2023)
Geekbench AI Score
4154
Single Precision Score
6746
Half Precision Score
5719
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | astrokari |
| Upload Date | August 16 2024 09:17 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| 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% |
1385
257.6 IPS |
|
|
Image Classification (HP)
|
100% |
2264
421.0 IPS |
|
|
Image Classification (Q)
|
99% |
2264
422.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1680
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2613
42.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
2569
41.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12977
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
25515
29.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
19070
22.3 IPS |
|
|
Object Detection (SP)
|
100% |
1686
133.7 IPS |
|
|
Object Detection (HP)
|
97% |
2693
214.4 IPS |
|
|
Object Detection (Q)
|
94% |
2015
160.6 IPS |
|
|
Face Detection (SP)
|
100% |
3606
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
6105
72.5 IPS |
|
|
Face Detection (Q)
|
100% |
3455
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6359
49.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12246
94.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
11983
92.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24673
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38492
49.5 IPS |
|
|
Style Transfer (Q)
|
100% |
38595
49.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5088
187.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6932
256.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4371
161.9 IPS |
|
|
Text Classification (SP)
|
100% |
2286
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3860
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3842
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
4572
78.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6244
107.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6245
107.9 IPS |
