Mac17,9
Geekbench AI Score
20229
Single Precision Score
35055
Half Precision Score
34163
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | yashk0618 |
| Upload Date | March 20 2026 08:44 PM |
| Views | 7 |
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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8746
1.63 KIPS |
|
|
Image Classification (HP)
|
100% |
12681
2.36 KIPS |
|
|
Image Classification (Q)
|
99% |
11764
2.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17982
291.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
28735
465.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
27412
444.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
71566
83.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
186218
217.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
212962
249.6 IPS |
|
|
Object Detection (SP)
|
100% |
8027
636.7 IPS |
|
|
Object Detection (HP)
|
100% |
14179
1.12 KIPS |
|
|
Object Detection (Q)
|
94% |
13780
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
33225
394.8 IPS |
|
|
Face Detection (HP)
|
100% |
55523
659.7 IPS |
|
|
Face Detection (Q)
|
100% |
49967
593.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
41611
320.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
73182
563.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
70406
549.7 IPS |
|
|
Style Transfer (SP)
|
100% |
152081
195.5 IPS |
|
|
Style Transfer (HP)
|
100% |
330886
425.4 IPS |
|
|
Style Transfer (Q)
|
96% |
394065
508.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26180
966.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43212
1.60 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34775
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
2953
3.94 KIPS |
|
|
Text Classification (HP)
|
99% |
5547
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5486
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
7815
134.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9038
155.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8653
149.5 IPS |
