MacBook Pro (14-inch, 2023)
Geekbench AI Score
4167
Single Precision Score
6702
Half Precision Score
5282
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | alimomen |
| Upload Date | November 11 2024 03:59 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5073e) |
| 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% |
1392
258.9 IPS |
|
|
Image Classification (HP)
|
100% |
2247
417.8 IPS |
|
|
Image Classification (Q)
|
96% |
1646
307.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1687
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2534
41.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2939
47.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13130
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
24612
28.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
19473
22.8 IPS |
|
|
Object Detection (SP)
|
100% |
1690
134.0 IPS |
|
|
Object Detection (HP)
|
97% |
2720
216.5 IPS |
|
|
Object Detection (Q)
|
94% |
2009
160.1 IPS |
|
|
Face Detection (SP)
|
100% |
3639
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
5958
70.8 IPS |
|
|
Face Detection (Q)
|
100% |
3418
40.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6446
49.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12292
95.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8165
63.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24858
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38551
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
29673
38.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5051
186.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7061
260.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4472
165.1 IPS |
|
|
Text Classification (SP)
|
100% |
2242
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3868
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3856
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
4596
79.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6221
107.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6265
108.3 IPS |
