Mac17,9
Geekbench AI Score
5316
Single Precision Score
48262
Half Precision Score
65373
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | joanbrava |
| Upload Date | April 09 2026 07:29 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.4.1 (Build 25E253) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2290
425.8 IPS |
|
|
Image Classification (HP)
|
100% |
21353
3.97 KIPS |
|
|
Image Classification (Q)
|
97% |
26950
5.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2480
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
26083
422.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
38373
622.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9579
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
183373
214.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
340406
399.0 IPS |
|
|
Object Detection (SP)
|
100% |
2859
226.8 IPS |
|
|
Object Detection (HP)
|
100% |
23594
1.87 KIPS |
|
|
Object Detection (Q)
|
89% |
29686
2.38 KIPS |
|
|
Face Detection (SP)
|
100% |
5543
65.9 IPS |
|
|
Face Detection (HP)
|
100% |
51834
615.9 IPS |
|
|
Face Detection (Q)
|
100% |
80625
958.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9156
70.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
140859
1.09 KIPS |
|
|
Depth Estimation (Q)
|
85% |
224169
1.75 KIPS |
|
|
Style Transfer (SP)
|
100% |
24919
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
290178
373.0 IPS |
|
|
Style Transfer (Q)
|
96% |
366137
472.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5826
215.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
67033
2.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
105096
3.88 KIPS |
|
|
Text Classification (SP)
|
99% |
5774
7.71 KIPS |
|
|
Text Classification (HP)
|
99% |
10069
13.4 KIPS |
|
|
Text Classification (Q)
|
92% |
9983
13.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
2727
47.0 IPS |
|
|
Machine Translation (HP)
|
100% |
19897
342.7 IPS |
|
|
Machine Translation (Q)
|
98% |
19648
339.5 IPS |
