MacBook Pro (14-inch, 2023)
Geekbench AI Score
10184
Single Precision Score
10604
Half Precision Score
9548
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 23 2024 08:11 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
5257
977.5 IPS |
|
|
Image Classification (HP)
|
100% |
5189
965.0 IPS |
|
|
Image Classification (Q)
|
97% |
4377
816.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7445
120.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7466
121.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7409
120.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
37229
43.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
39411
46.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
36628
42.9 IPS |
|
|
Object Detection (SP)
|
100% |
4835
383.5 IPS |
|
|
Object Detection (HP)
|
100% |
4948
392.5 IPS |
|
|
Object Detection (Q)
|
91% |
4187
334.5 IPS |
|
|
Face Detection (SP)
|
100% |
16691
198.3 IPS |
|
|
Face Detection (HP)
|
100% |
17688
210.2 IPS |
|
|
Face Detection (Q)
|
100% |
12492
148.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
23918
184.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
24835
191.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
20457
159.9 IPS |
|
|
Style Transfer (SP)
|
100% |
68631
88.2 IPS |
|
|
Style Transfer (HP)
|
100% |
74629
95.9 IPS |
|
|
Style Transfer (Q)
|
96% |
69810
90.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13404
495.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13992
516.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11376
420.1 IPS |
|
|
Text Classification (SP)
|
100% |
2320
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3954
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
3924
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2000
34.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1313
22.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1590
27.5 IPS |
