MacBook Pro (14-inch, 2023)
Geekbench AI Score
13285
Single Precision Score
14373
Half Precision Score
12815
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 09 2024 05:44 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| 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 | 3.36 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6391
1.19 KIPS |
|
|
Image Classification (HP)
|
100% |
6604
1.23 KIPS |
|
|
Image Classification (Q)
|
97% |
4980
929.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
10777
174.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
10803
175.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10477
169.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
62846
73.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
65246
76.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
59114
69.3 IPS |
|
|
Object Detection (SP)
|
100% |
6106
484.4 IPS |
|
|
Object Detection (HP)
|
100% |
6407
508.2 IPS |
|
|
Object Detection (Q)
|
91% |
5388
430.5 IPS |
|
|
Face Detection (SP)
|
100% |
24739
294.0 IPS |
|
|
Face Detection (HP)
|
100% |
25057
297.7 IPS |
|
|
Face Detection (Q)
|
100% |
18291
217.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
29583
227.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
30123
232.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
25261
197.4 IPS |
|
|
Style Transfer (SP)
|
100% |
115043
147.9 IPS |
|
|
Style Transfer (HP)
|
100% |
130119
167.3 IPS |
|
|
Style Transfer (Q)
|
96% |
118181
152.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20452
755.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21216
783.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16007
591.0 IPS |
|
|
Text Classification (SP)
|
100% |
2279
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3975
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3939
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1652
28.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1524
26.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2088
36.1 IPS |
