MacBook Pro (14-inch, 2023)
Geekbench AI Score
11193
Single Precision Score
11715
Half Precision Score
10571
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 23 2024 08:18 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, 12 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5279
981.8 IPS |
|
|
Image Classification (HP)
|
100% |
5531
1.03 KIPS |
|
|
Image Classification (Q)
|
97% |
4617
861.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
8061
130.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8067
130.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
8089
131.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
45094
52.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
47507
55.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
44227
51.8 IPS |
|
|
Object Detection (SP)
|
100% |
5038
399.6 IPS |
|
|
Object Detection (HP)
|
100% |
5114
405.6 IPS |
|
|
Object Detection (Q)
|
91% |
4434
354.3 IPS |
|
|
Face Detection (SP)
|
100% |
18105
215.1 IPS |
|
|
Face Detection (HP)
|
100% |
19517
231.9 IPS |
|
|
Face Detection (Q)
|
100% |
13988
166.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
25977
200.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
26659
205.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
22412
175.2 IPS |
|
|
Style Transfer (SP)
|
100% |
79811
102.6 IPS |
|
|
Style Transfer (HP)
|
100% |
85566
110.0 IPS |
|
|
Style Transfer (Q)
|
96% |
79942
103.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17634
651.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18387
678.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15239
562.7 IPS |
|
|
Text Classification (SP)
|
100% |
2275
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3950
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3981
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2122
36.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1390
23.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1566
27.1 IPS |
