Mac17,9
Geekbench AI Score
21204
Single Precision Score
36307
Half Precision Score
35078
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| Upload Date | April 16 2026 04:29 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M5 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| 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% |
8525
1.59 KIPS |
|
|
Image Classification (HP)
|
100% |
12011
2.23 KIPS |
|
|
Image Classification (Q)
|
99% |
11344
2.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17508
283.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
28103
455.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
26906
436.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
68938
80.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
177359
206.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
205808
241.2 IPS |
|
|
Object Detection (SP)
|
100% |
8005
635.0 IPS |
|
|
Object Detection (HP)
|
100% |
13706
1.09 KIPS |
|
|
Object Detection (Q)
|
94% |
12953
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
31725
377.0 IPS |
|
|
Face Detection (HP)
|
100% |
53271
633.0 IPS |
|
|
Face Detection (Q)
|
100% |
46596
553.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
39719
306.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
71588
551.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
69399
541.8 IPS |
|
|
Style Transfer (SP)
|
100% |
149965
192.8 IPS |
|
|
Style Transfer (HP)
|
100% |
330257
424.5 IPS |
|
|
Style Transfer (Q)
|
96% |
393341
507.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26236
968.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43925
1.62 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34328
1.27 KIPS |
|
|
Text Classification (SP)
|
100% |
5945
7.93 KIPS |
|
|
Text Classification (HP)
|
99% |
10075
13.4 KIPS |
|
|
Text Classification (Q)
|
93% |
9476
12.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
7569
130.4 IPS |
|
|
Machine Translation (HP)
|
100% |
8704
149.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8379
144.8 IPS |
