Mac17,9
Geekbench AI Score
20173
Single Precision Score
35069
Half Precision Score
33643
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | discobay |
| Upload Date | March 17 2026 02:49 AM |
| Views | 6 |
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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8440
1.57 KIPS |
|
|
Image Classification (HP)
|
100% |
12330
2.29 KIPS |
|
|
Image Classification (Q)
|
99% |
11568
2.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17870
289.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
28592
463.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
27168
440.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
70626
82.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
184826
215.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
209646
245.7 IPS |
|
|
Object Detection (SP)
|
100% |
8343
661.7 IPS |
|
|
Object Detection (HP)
|
100% |
14254
1.13 KIPS |
|
|
Object Detection (Q)
|
94% |
12687
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
32211
382.7 IPS |
|
|
Face Detection (HP)
|
100% |
54122
643.1 IPS |
|
|
Face Detection (Q)
|
100% |
48236
573.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
41578
320.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
74507
574.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
70628
551.4 IPS |
|
|
Style Transfer (SP)
|
100% |
152188
195.6 IPS |
|
|
Style Transfer (HP)
|
100% |
333901
429.2 IPS |
|
|
Style Transfer (Q)
|
96% |
391922
505.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26440
976.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43704
1.61 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33439
1.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3126
4.17 KIPS |
|
|
Text Classification (HP)
|
99% |
6002
8.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5983
8.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
7458
128.5 IPS |
|
|
Machine Translation (HP)
|
100% |
8578
147.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8319
143.8 IPS |
