Mac17,9
Geekbench AI Score
5359
Single Precision Score
9250
Half Precision Score
7276
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | nvsnvs32 |
| Upload Date | March 24 2026 09:00 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| Model | Mac17,9 |
| Model ID | Mac17,9 |
| Motherboard | Mac17,9 |
| CPU Information | |
|---|---|
| Name | Apple M5 Pro |
| Topology | 1 Processor, 15 Cores |
| Identifier | Apple M5 Pro |
| Base Frequency | 4.60 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2302
428.1 IPS |
|
|
Image Classification (HP)
|
100% |
3339
620.9 IPS |
|
|
Image Classification (Q)
|
94% |
2138
399.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2571
41.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3000
48.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4060
65.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9636
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
19595
22.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
16932
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
2874
228.0 IPS |
|
|
Object Detection (HP)
|
98% |
4213
335.2 IPS |
|
|
Object Detection (Q)
|
88% |
2887
231.4 IPS |
|
|
Face Detection (SP)
|
100% |
5460
64.9 IPS |
|
|
Face Detection (HP)
|
100% |
9771
116.1 IPS |
|
|
Face Detection (Q)
|
100% |
5250
62.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9168
70.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11814
91.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8430
65.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24937
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
46268
59.5 IPS |
|
|
Style Transfer (Q)
|
96% |
37053
47.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5831
215.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10571
390.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6313
233.1 IPS |
|
|
Text Classification (SP)
|
99% |
6003
8.01 KIPS |
|
|
Text Classification (HP)
|
100% |
10296
13.7 KIPS |
|
|
Text Classification (Q)
|
93% |
9999
13.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
2729
47.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9543
164.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9470
163.6 IPS |
