MacBook Pro (14-inch, 2023)
Geekbench AI Score
10137
Single Precision Score
10507
Half Precision Score
9322
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | zedkiel |
| Upload Date | October 21 2024 05:04 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| Model | MacBook Pro (14-inch, 2023) |
| Model ID | Mac14,9 |
| Motherboard | Mac14,9 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5179
963.2 IPS |
|
|
Image Classification (HP)
|
100% |
5260
978.2 IPS |
|
|
Image Classification (Q)
|
97% |
3970
740.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7451
120.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7386
119.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7099
115.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
37273
43.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
39466
46.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
36153
42.4 IPS |
|
|
Object Detection (SP)
|
100% |
4780
379.2 IPS |
|
|
Object Detection (HP)
|
100% |
4901
388.7 IPS |
|
|
Object Detection (Q)
|
91% |
4009
320.3 IPS |
|
|
Face Detection (SP)
|
100% |
16876
200.5 IPS |
|
|
Face Detection (HP)
|
100% |
17282
205.4 IPS |
|
|
Face Detection (Q)
|
100% |
12219
145.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
24013
185.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
24900
191.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
19556
152.8 IPS |
|
|
Style Transfer (SP)
|
100% |
68551
88.1 IPS |
|
|
Style Transfer (HP)
|
100% |
74605
95.9 IPS |
|
|
Style Transfer (Q)
|
96% |
69655
89.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13365
493.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14114
521.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10706
395.3 IPS |
|
|
Text Classification (SP)
|
100% |
2255
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3944
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3956
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1991
34.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1222
21.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1722
29.8 IPS |
