MacBook Pro (14-inch, 2023)
Geekbench AI Score
9547
Single Precision Score
10414
Half Precision Score
9147
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | XxOoEthanoOxX |
| Upload Date | September 28 2024 02:39 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5035e) |
| 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 | 3.47 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5056
940.2 IPS |
|
|
Image Classification (HP)
|
100% |
5008
931.3 IPS |
|
|
Image Classification (Q)
|
97% |
3841
716.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7432
120.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7459
120.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7006
113.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
37218
43.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
39381
46.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
36039
42.2 IPS |
|
|
Object Detection (SP)
|
100% |
4732
375.4 IPS |
|
|
Object Detection (HP)
|
100% |
4862
385.7 IPS |
|
|
Object Detection (Q)
|
91% |
3970
317.2 IPS |
|
|
Face Detection (SP)
|
100% |
16613
197.4 IPS |
|
|
Face Detection (HP)
|
100% |
17323
205.8 IPS |
|
|
Face Detection (Q)
|
100% |
12124
144.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
23806
183.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
24722
190.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
19526
152.6 IPS |
|
|
Style Transfer (SP)
|
100% |
68240
87.7 IPS |
|
|
Style Transfer (HP)
|
100% |
74409
95.7 IPS |
|
|
Style Transfer (Q)
|
96% |
69185
89.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13051
481.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13769
508.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10600
391.4 IPS |
|
|
Text Classification (SP)
|
100% |
2249
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3823
5.10 KIPS |
|
|
Text Classification (Q)
|
93% |
3844
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1200
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1251
21.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1596
27.6 IPS |
