Mac17,9
Geekbench AI Score
18459
Single Precision Score
32720
Half Precision Score
31852
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| Upload Date | March 23 2026 07:48 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M5 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (a) (Build 25D771280a) |
| 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% |
8260
1.54 KIPS |
|
|
Image Classification (HP)
|
100% |
12399
2.31 KIPS |
|
|
Image Classification (Q)
|
99% |
11560
2.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15525
251.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
25244
409.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24307
394.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
60099
70.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
155438
181.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
190718
223.5 IPS |
|
|
Object Detection (SP)
|
100% |
7777
616.9 IPS |
|
|
Object Detection (HP)
|
100% |
14058
1.12 KIPS |
|
|
Object Detection (Q)
|
94% |
13211
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
30821
366.2 IPS |
|
|
Face Detection (HP)
|
100% |
51773
615.2 IPS |
|
|
Face Detection (Q)
|
100% |
45934
545.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
39365
303.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
69462
535.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
63837
498.4 IPS |
|
|
Style Transfer (SP)
|
100% |
128419
165.1 IPS |
|
|
Style Transfer (HP)
|
100% |
278189
357.6 IPS |
|
|
Style Transfer (Q)
|
96% |
326143
420.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21885
808.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40665
1.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33177
1.23 KIPS |
|
|
Text Classification (SP)
|
100% |
2913
3.89 KIPS |
|
|
Text Classification (HP)
|
99% |
5626
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5571
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
7715
132.9 IPS |
|
|
Machine Translation (HP)
|
100% |
8985
154.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8592
148.5 IPS |
