Mac17,9
Geekbench AI Score
5331
Single Precision Score
47044
Half Precision Score
63585
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | elvarox |
| Upload Date | March 30 2026 04:29 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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, 15 Cores |
| Identifier | Apple M5 Pro |
| Base Frequency | 4.60 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2303
428.3 IPS |
|
|
Image Classification (HP)
|
100% |
19723
3.67 KIPS |
|
|
Image Classification (Q)
|
97% |
25871
4.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2531
41.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
26120
423.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
38492
624.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9647
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
182799
213.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
338954
397.3 IPS |
|
|
Object Detection (SP)
|
100% |
2867
227.4 IPS |
|
|
Object Detection (HP)
|
100% |
23932
1.90 KIPS |
|
|
Object Detection (Q)
|
89% |
29201
2.34 KIPS |
|
|
Face Detection (SP)
|
100% |
5486
65.2 IPS |
|
|
Face Detection (HP)
|
100% |
51162
607.9 IPS |
|
|
Face Detection (Q)
|
100% |
80000
950.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9112
70.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
138581
1.07 KIPS |
|
|
Depth Estimation (Q)
|
85% |
213475
1.67 KIPS |
|
|
Style Transfer (SP)
|
100% |
24945
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
289360
372.0 IPS |
|
|
Style Transfer (Q)
|
96% |
368772
475.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5852
216.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
65499
2.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
97814
3.61 KIPS |
|
|
Text Classification (SP)
|
99% |
5769
7.70 KIPS |
|
|
Text Classification (HP)
|
99% |
9454
12.6 KIPS |
|
|
Text Classification (Q)
|
93% |
9274
12.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
2733
47.1 IPS |
|
|
Machine Translation (HP)
|
100% |
18546
319.5 IPS |
|
|
Machine Translation (Q)
|
98% |
19187
331.6 IPS |
