Mac17,9
Geekbench AI Score
5051
Single Precision Score
45177
Half Precision Score
60116
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | tmaier |
| Upload Date | March 17 2026 06:31 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D2125) |
| 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% |
2349
436.9 IPS |
|
|
Image Classification (HP)
|
100% |
20931
3.89 KIPS |
|
|
Image Classification (Q)
|
97% |
25071
4.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2505
40.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
26107
423.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
36564
592.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11254
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
183850
214.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
340025
398.5 IPS |
|
|
Object Detection (SP)
|
100% |
2799
222.0 IPS |
|
|
Object Detection (HP)
|
100% |
23437
1.86 KIPS |
|
|
Object Detection (Q)
|
91% |
28823
2.30 KIPS |
|
|
Face Detection (SP)
|
100% |
5119
60.8 IPS |
|
|
Face Detection (HP)
|
100% |
50372
598.5 IPS |
|
|
Face Detection (Q)
|
100% |
70810
841.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9392
72.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
140221
1.08 KIPS |
|
|
Depth Estimation (Q)
|
85% |
218530
1.71 KIPS |
|
|
Style Transfer (SP)
|
100% |
27076
34.8 IPS |
|
|
Style Transfer (HP)
|
100% |
289252
371.8 IPS |
|
|
Style Transfer (Q)
|
96% |
400306
516.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6054
223.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
67500
2.49 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
102346
3.78 KIPS |
|
|
Text Classification (SP)
|
100% |
3063
4.09 KIPS |
|
|
Text Classification (HP)
|
99% |
5640
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5608
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
2417
41.6 IPS |
|
|
Machine Translation (HP)
|
100% |
19340
333.1 IPS |
|
|
Machine Translation (Q)
|
98% |
19301
333.5 IPS |
