Mac17,8
Geekbench AI Score
20260
Single Precision Score
35016
Half Precision Score
34179
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | bgh0809 |
| Upload Date | March 15 2026 01:00 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M5 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D2125) |
| 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 | 4.61 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8801
1.64 KIPS |
|
|
Image Classification (HP)
|
100% |
12411
2.31 KIPS |
|
|
Image Classification (Q)
|
99% |
11771
2.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17943
290.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
28733
465.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
27577
447.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
71371
83.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
185351
216.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
211711
248.1 IPS |
|
|
Object Detection (SP)
|
100% |
8106
643.0 IPS |
|
|
Object Detection (HP)
|
100% |
14340
1.14 KIPS |
|
|
Object Detection (Q)
|
94% |
13686
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
32731
388.9 IPS |
|
|
Face Detection (HP)
|
100% |
54283
645.0 IPS |
|
|
Face Detection (Q)
|
100% |
49099
583.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
41657
320.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
74711
575.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
70408
549.7 IPS |
|
|
Style Transfer (SP)
|
100% |
151985
195.4 IPS |
|
|
Style Transfer (HP)
|
100% |
334220
429.6 IPS |
|
|
Style Transfer (Q)
|
96% |
394276
508.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26305
971.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43088
1.59 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34783
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
3017
4.03 KIPS |
|
|
Text Classification (HP)
|
99% |
5603
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5684
7.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
7755
133.6 IPS |
|
|
Machine Translation (HP)
|
100% |
8936
153.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8585
148.4 IPS |
