MacBook Pro (14-inch, 2023) - CoreML/GPU - Run 1 MacBook Pro (14-inch, 2023)
Geekbench AI Score
9599
Single Precision Score
10351
Half Precision Score
9193
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Jef34 |
| Upload Date | January 16 2025 02:44 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5185
964.2 IPS |
|
|
Image Classification (HP)
|
100% |
5383
1.00 KIPS |
|
|
Image Classification (Q)
|
97% |
4416
824.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7318
118.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7265
117.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7160
116.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
37260
43.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
39444
46.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
36679
43.0 IPS |
|
|
Object Detection (SP)
|
100% |
4873
386.5 IPS |
|
|
Object Detection (HP)
|
100% |
4982
395.2 IPS |
|
|
Object Detection (Q)
|
91% |
4215
336.8 IPS |
|
|
Face Detection (SP)
|
100% |
16918
201.0 IPS |
|
|
Face Detection (HP)
|
100% |
17597
209.1 IPS |
|
|
Face Detection (Q)
|
100% |
12697
150.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
24140
186.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
25151
193.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
20949
163.7 IPS |
|
|
Style Transfer (SP)
|
100% |
68587
88.2 IPS |
|
|
Style Transfer (HP)
|
100% |
75112
96.6 IPS |
|
|
Style Transfer (Q)
|
96% |
70044
90.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13491
498.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14265
526.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11349
419.1 IPS |
|
|
Text Classification (SP)
|
100% |
2332
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4009
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3946
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1095
18.9 IPS |
|
|
Machine Translation (HP)
|
100% |
967
16.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1058
18.3 IPS |
