Mac17,3
Geekbench AI Score
5256
Single Precision Score
41622
Half Precision Score
58298
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | hakara |
| Upload Date | March 11 2026 06:14 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| Model | Mac17,3 |
| Model ID | Mac17,3 |
| Motherboard | Mac17,3 |
| CPU Information | |
|---|---|
| Name | Apple M5 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M5 |
| Base Frequency | 4.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2265
421.2 IPS |
|
|
Image Classification (HP)
|
100% |
18446
3.43 KIPS |
|
|
Image Classification (Q)
|
97% |
25803
4.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2158
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
24227
392.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
34029
551.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11007
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
177685
207.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
335273
393.0 IPS |
|
|
Object Detection (SP)
|
100% |
2663
211.2 IPS |
|
|
Object Detection (HP)
|
100% |
18773
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
26704
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
4792
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
47665
566.4 IPS |
|
|
Face Detection (Q)
|
100% |
68029
808.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9137
70.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
110765
853.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
180804
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
27568
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
272010
349.7 IPS |
|
|
Style Transfer (Q)
|
96% |
373861
482.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5990
221.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63138
2.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
96234
3.55 KIPS |
|
|
Text Classification (SP)
|
100% |
3059
4.08 KIPS |
|
|
Text Classification (HP)
|
100% |
6502
8.68 KIPS |
|
|
Text Classification (Q)
|
93% |
7028
9.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
5086
87.6 IPS |
|
|
Machine Translation (HP)
|
100% |
17755
305.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18550
320.6 IPS |
