Mac17,9
Geekbench AI Score
20292
Single Precision Score
35263
Half Precision Score
34221
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| Upload Date | March 06 2026 03:53 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8617
1.60 KIPS |
|
|
Image Classification (HP)
|
100% |
12532
2.33 KIPS |
|
|
Image Classification (Q)
|
99% |
11771
2.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18036
292.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
28917
468.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
27542
446.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
71522
83.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
186221
217.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
212090
248.6 IPS |
|
|
Object Detection (SP)
|
100% |
8038
637.6 IPS |
|
|
Object Detection (HP)
|
100% |
14555
1.15 KIPS |
|
|
Object Detection (Q)
|
94% |
13771
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
33414
397.0 IPS |
|
|
Face Detection (HP)
|
100% |
55728
662.2 IPS |
|
|
Face Detection (Q)
|
100% |
51037
606.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
41657
320.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
74218
571.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
70048
546.9 IPS |
|
|
Style Transfer (SP)
|
100% |
152482
196.0 IPS |
|
|
Style Transfer (HP)
|
100% |
332161
427.0 IPS |
|
|
Style Transfer (Q)
|
96% |
394811
509.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26314
971.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43631
1.61 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34738
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
3030
4.04 KIPS |
|
|
Text Classification (HP)
|
99% |
5566
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5496
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
7832
134.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9073
156.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8632
149.2 IPS |
