Mac17,9
Geekbench AI Score
4939
Single Precision Score
44889
Half Precision Score
59495
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | discobay |
| Upload Date | March 17 2026 12:21 PM |
| Views | 4 |
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 | 4.59 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2292
426.3 IPS |
|
|
Image Classification (HP)
|
100% |
21363
3.97 KIPS |
|
|
Image Classification (Q)
|
97% |
24964
4.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2505
40.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
26255
425.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
36955
599.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10430
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
180910
211.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
333508
390.9 IPS |
|
|
Object Detection (SP)
|
100% |
2758
218.8 IPS |
|
|
Object Detection (HP)
|
100% |
24099
1.91 KIPS |
|
|
Object Detection (Q)
|
91% |
28573
2.28 KIPS |
|
|
Face Detection (SP)
|
100% |
5018
59.6 IPS |
|
|
Face Detection (HP)
|
100% |
49241
585.1 IPS |
|
|
Face Detection (Q)
|
100% |
69313
823.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9283
71.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
136419
1.05 KIPS |
|
|
Depth Estimation (Q)
|
85% |
215317
1.68 KIPS |
|
|
Style Transfer (SP)
|
100% |
26747
34.4 IPS |
|
|
Style Transfer (HP)
|
100% |
285179
366.6 IPS |
|
|
Style Transfer (Q)
|
96% |
395226
510.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5983
220.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
65850
2.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
101971
3.77 KIPS |
|
|
Text Classification (SP)
|
100% |
2918
3.90 KIPS |
|
|
Text Classification (HP)
|
99% |
5492
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5411
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2407
41.5 IPS |
|
|
Machine Translation (HP)
|
100% |
19613
337.8 IPS |
|
|
Machine Translation (Q)
|
98% |
19423
335.7 IPS |
