Mac17,3
Geekbench AI Score
5271
Single Precision Score
41430
Half Precision Score
57544
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | deutros |
| Upload Date | March 11 2026 02:23 AM |
| Views | 10 |
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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2305
428.6 IPS |
|
|
Image Classification (HP)
|
100% |
18280
3.40 KIPS |
|
|
Image Classification (Q)
|
97% |
24119
4.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2188
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
23868
386.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
33737
546.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11215
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
178528
208.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
330075
386.9 IPS |
|
|
Object Detection (SP)
|
100% |
2668
211.7 IPS |
|
|
Object Detection (HP)
|
100% |
19198
1.52 KIPS |
|
|
Object Detection (Q)
|
91% |
26452
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4767
56.6 IPS |
|
|
Face Detection (HP)
|
100% |
46878
557.0 IPS |
|
|
Face Detection (Q)
|
100% |
66537
790.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9085
70.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
110685
852.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
178261
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
27514
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
271520
349.0 IPS |
|
|
Style Transfer (Q)
|
96% |
372821
481.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5980
220.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63337
2.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
101379
3.74 KIPS |
|
|
Text Classification (SP)
|
100% |
3073
4.10 KIPS |
|
|
Text Classification (HP)
|
100% |
6334
8.45 KIPS |
|
|
Text Classification (Q)
|
93% |
6708
9.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
5012
86.3 IPS |
|
|
Machine Translation (HP)
|
100% |
17630
303.7 IPS |
|
|
Machine Translation (Q)
|
98% |
18634
322.0 IPS |
