MacBook Pro (14-inch, 2023)
Geekbench AI Score
4131
Single Precision Score
6675
Half Precision Score
5677
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | astrokari |
| Upload Date | August 16 2024 10:27 PM |
| Views | 4 |
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 | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1380
256.7 IPS |
|
|
Image Classification (HP)
|
100% |
2247
417.9 IPS |
|
|
Image Classification (Q)
|
99% |
2237
417.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1666
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2536
41.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
2586
41.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13071
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
25038
29.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
18934
22.2 IPS |
|
|
Object Detection (SP)
|
100% |
1685
133.6 IPS |
|
|
Object Detection (HP)
|
97% |
2694
214.5 IPS |
|
|
Object Detection (Q)
|
94% |
2012
160.4 IPS |
|
|
Face Detection (SP)
|
100% |
3587
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
5967
70.9 IPS |
|
|
Face Detection (Q)
|
100% |
3331
39.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6240
48.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12129
93.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
11971
92.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24474
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38572
49.6 IPS |
|
|
Style Transfer (Q)
|
100% |
38603
49.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5055
186.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6902
254.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4359
161.5 IPS |
|
|
Text Classification (SP)
|
100% |
2241
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3847
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3816
5.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
4612
79.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6165
106.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6165
106.5 IPS |
