MacBook Pro (14-inch, 2023)
Geekbench AI Score
12735
Single Precision Score
13940
Half Precision Score
10959
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | astrokari |
| Upload Date | August 16 2024 09:31 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.47 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6236
1.16 KIPS |
|
|
Image Classification (HP)
|
100% |
6403
1.19 KIPS |
|
|
Image Classification (Q)
|
99% |
5611
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10690
173.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
10578
171.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
10542
170.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
61951
72.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
64820
75.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
57413
67.2 IPS |
|
|
Object Detection (SP)
|
100% |
5865
465.2 IPS |
|
|
Object Detection (HP)
|
100% |
6339
502.8 IPS |
|
|
Object Detection (Q)
|
91% |
5315
424.7 IPS |
|
|
Face Detection (SP)
|
100% |
25226
299.7 IPS |
|
|
Face Detection (HP)
|
100% |
25971
308.6 IPS |
|
|
Face Detection (Q)
|
100% |
18206
216.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
29054
223.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
29660
228.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
6079
47.0 IPS |
|
|
Style Transfer (SP)
|
100% |
114071
146.6 IPS |
|
|
Style Transfer (HP)
|
100% |
128362
165.0 IPS |
|
|
Style Transfer (Q)
|
100% |
126273
162.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19544
721.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20354
751.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
15036
557.1 IPS |
|
|
Text Classification (SP)
|
100% |
2289
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3887
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3859
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1239
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1273
21.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1708
29.5 IPS |
