Mac17,9
Geekbench AI Score
18400
Single Precision Score
32697
Half Precision Score
31705
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Supr3M |
| Upload Date | March 15 2026 07:46 PM |
| Views | 4 |
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, 15 Cores |
| Identifier | Apple M5 Pro |
| Base Frequency | 4.60 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8266
1.54 KIPS |
|
|
Image Classification (HP)
|
100% |
12279
2.28 KIPS |
|
|
Image Classification (Q)
|
99% |
11354
2.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15482
251.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
25242
409.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24209
392.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
60089
70.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
155575
181.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
190727
223.5 IPS |
|
|
Object Detection (SP)
|
100% |
7743
614.2 IPS |
|
|
Object Detection (HP)
|
100% |
13847
1.10 KIPS |
|
|
Object Detection (Q)
|
94% |
13044
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
30644
364.1 IPS |
|
|
Face Detection (HP)
|
100% |
51762
615.0 IPS |
|
|
Face Detection (Q)
|
100% |
45315
538.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
38956
300.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
69098
532.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
63804
498.1 IPS |
|
|
Style Transfer (SP)
|
100% |
129003
165.8 IPS |
|
|
Style Transfer (HP)
|
100% |
285325
366.8 IPS |
|
|
Style Transfer (Q)
|
96% |
325102
419.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21706
801.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40696
1.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33675
1.24 KIPS |
|
|
Text Classification (SP)
|
100% |
2928
3.91 KIPS |
|
|
Text Classification (HP)
|
99% |
5586
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5488
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
7636
131.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9019
155.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8640
149.3 IPS |
