Mac17,8
Geekbench AI Score
5349
Single Precision Score
9270
Half Precision Score
7235
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | tsteele2013 |
| Upload Date | April 09 2026 07:53 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| Model | Mac17,8 |
| Model ID | Mac17,8 |
| Motherboard | Mac17,8 |
| CPU Information | |
|---|---|
| Name | Apple M5 Pro |
| Topology | 1 Processor, 18 Cores |
| Identifier | Apple M5 Pro |
| Base Frequency | 4.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2316
430.6 IPS |
|
|
Image Classification (HP)
|
100% |
3513
653.3 IPS |
|
|
Image Classification (Q)
|
94% |
2091
390.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2478
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3008
48.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4113
66.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9908
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19563
22.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
16975
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
2862
227.0 IPS |
|
|
Object Detection (HP)
|
98% |
4198
334.1 IPS |
|
|
Object Detection (Q)
|
88% |
2835
227.2 IPS |
|
|
Face Detection (SP)
|
100% |
5576
66.3 IPS |
|
|
Face Detection (HP)
|
100% |
9964
118.4 IPS |
|
|
Face Detection (Q)
|
100% |
5303
63.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9186
70.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12072
93.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8307
64.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25006
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
46460
59.7 IPS |
|
|
Style Transfer (Q)
|
96% |
37278
48.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5833
215.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10488
387.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6221
229.7 IPS |
|
|
Text Classification (SP)
|
100% |
5767
7.70 KIPS |
|
|
Text Classification (HP)
|
99% |
9516
12.7 KIPS |
|
|
Text Classification (Q)
|
92% |
9565
12.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
2739
47.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9686
166.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9722
168.0 IPS |
