MacBook Pro (14-inch, 2023)
Geekbench AI Score
11343
Single Precision Score
12333
Half Precision Score
10908
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | February 17 2025 06:28 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| Model | MacBook Pro (14-inch, 2023) |
| Model ID | Mac14,9 |
| Motherboard | Mac14,9 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5484
1.02 KIPS |
|
|
Image Classification (HP)
|
100% |
5586
1.04 KIPS |
|
|
Image Classification (Q)
|
97% |
4764
889.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
8141
132.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8104
131.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7982
129.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
45045
52.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
47623
55.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
44207
51.8 IPS |
|
|
Object Detection (SP)
|
100% |
5066
401.9 IPS |
|
|
Object Detection (HP)
|
100% |
5143
407.9 IPS |
|
|
Object Detection (Q)
|
91% |
4298
343.5 IPS |
|
|
Face Detection (SP)
|
100% |
18241
216.7 IPS |
|
|
Face Detection (HP)
|
100% |
19777
235.0 IPS |
|
|
Face Detection (Q)
|
100% |
13960
165.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
25917
199.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
26931
207.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
22595
176.6 IPS |
|
|
Style Transfer (SP)
|
100% |
80256
103.2 IPS |
|
|
Style Transfer (HP)
|
100% |
85743
110.2 IPS |
|
|
Style Transfer (Q)
|
96% |
80267
103.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17776
656.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18769
693.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15369
567.5 IPS |
|
|
Text Classification (SP)
|
100% |
2377
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
4069
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4044
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2160
37.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2106
36.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2099
36.3 IPS |
