Mac17,9
Geekbench AI Score
5014
Single Precision Score
43575
Half Precision Score
57935
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Jeff1959w |
| Upload Date | March 19 2026 11:43 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.61 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2334
434.0 IPS |
|
|
Image Classification (HP)
|
100% |
19198
3.57 KIPS |
|
|
Image Classification (Q)
|
97% |
22938
4.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2491
40.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
25830
418.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
36509
591.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11179
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
182208
212.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
334394
391.9 IPS |
|
|
Object Detection (SP)
|
100% |
2807
222.6 IPS |
|
|
Object Detection (HP)
|
100% |
21966
1.74 KIPS |
|
|
Object Detection (Q)
|
91% |
28445
2.27 KIPS |
|
|
Face Detection (SP)
|
100% |
5164
61.4 IPS |
|
|
Face Detection (HP)
|
100% |
48937
581.5 IPS |
|
|
Face Detection (Q)
|
100% |
70003
831.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9379
72.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
135987
1.05 KIPS |
|
|
Depth Estimation (Q)
|
85% |
195551
1.53 KIPS |
|
|
Style Transfer (SP)
|
100% |
26786
34.4 IPS |
|
|
Style Transfer (HP)
|
100% |
286146
367.8 IPS |
|
|
Style Transfer (Q)
|
96% |
394597
509.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6012
222.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63982
2.36 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
96633
3.57 KIPS |
|
|
Text Classification (SP)
|
100% |
2916
3.89 KIPS |
|
|
Text Classification (HP)
|
99% |
5555
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5422
7.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2425
41.8 IPS |
|
|
Machine Translation (HP)
|
100% |
18375
316.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18899
326.6 IPS |
