MacBook Pro (14-inch, 2023)
Geekbench AI Score
4162
Single Precision Score
6676
Half Precision Score
5686
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | astrokari |
| Upload Date | August 31 2024 04:09 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5035e) |
| 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 | 3.47 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1379
256.4 IPS |
|
|
Image Classification (HP)
|
100% |
2248
418.0 IPS |
|
|
Image Classification (Q)
|
99% |
2262
421.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1691
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2539
41.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
2557
41.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12983
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
24977
29.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
18872
22.1 IPS |
|
|
Object Detection (SP)
|
100% |
1703
135.1 IPS |
|
|
Object Detection (HP)
|
97% |
2720
216.6 IPS |
|
|
Object Detection (Q)
|
94% |
2005
159.8 IPS |
|
|
Face Detection (SP)
|
100% |
3612
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
5854
69.6 IPS |
|
|
Face Detection (Q)
|
100% |
3406
40.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6351
48.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12097
93.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
11991
92.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24799
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38677
49.7 IPS |
|
|
Style Transfer (Q)
|
100% |
38041
48.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5064
187.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6869
253.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4360
161.5 IPS |
|
|
Text Classification (SP)
|
100% |
2284
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3833
5.12 KIPS |
|
|
Text Classification (Q)
|
93% |
3849
5.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
4608
79.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6295
108.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6201
107.2 IPS |
