Mac17,9
Geekbench AI Score
4857
Single Precision Score
8609
Half Precision Score
6855
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | discobay |
| Upload Date | March 17 2026 02:52 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| Model | Mac17,9 |
| Model ID | Mac17,9 |
| Motherboard | Mac17,9 |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2301
427.9 IPS |
|
|
Image Classification (HP)
|
100% |
3650
678.8 IPS |
|
|
Image Classification (Q)
|
96% |
2455
458.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2460
39.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3596
58.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3852
62.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10825
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
20657
24.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
17735
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
2749
218.0 IPS |
|
|
Object Detection (HP)
|
97% |
4191
333.6 IPS |
|
|
Object Detection (Q)
|
94% |
2931
233.6 IPS |
|
|
Face Detection (SP)
|
100% |
4732
56.2 IPS |
|
|
Face Detection (HP)
|
100% |
8225
97.7 IPS |
|
|
Face Detection (Q)
|
100% |
4764
56.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9161
70.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
15306
118.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10432
81.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25649
33.0 IPS |
|
|
Style Transfer (HP)
|
100% |
40282
51.8 IPS |
|
|
Style Transfer (Q)
|
96% |
33425
43.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5798
214.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6998
258.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5117
188.9 IPS |
|
|
Text Classification (SP)
|
100% |
2973
3.97 KIPS |
|
|
Text Classification (HP)
|
99% |
5650
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5534
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2265
39.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9818
169.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9919
171.4 IPS |
