Mac17,3
Geekbench AI Score
5560
Single Precision Score
41858
Half Precision Score
59082
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | maxxx |
| Upload Date | March 31 2026 04:33 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| 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% |
2254
419.2 IPS |
|
|
Image Classification (HP)
|
100% |
18567
3.45 KIPS |
|
|
Image Classification (Q)
|
97% |
25901
4.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2213
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
24629
399.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
35071
568.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9839
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
177541
207.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
334163
391.7 IPS |
|
|
Object Detection (SP)
|
100% |
2700
214.2 IPS |
|
|
Object Detection (HP)
|
100% |
18035
1.43 KIPS |
|
|
Object Detection (Q)
|
89% |
27539
2.20 KIPS |
|
|
Face Detection (SP)
|
100% |
5128
60.9 IPS |
|
|
Face Detection (HP)
|
100% |
48759
579.4 IPS |
|
|
Face Detection (Q)
|
100% |
74344
883.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8812
67.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
110224
849.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
183546
1.43 KIPS |
|
|
Style Transfer (SP)
|
100% |
25390
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
273963
352.2 IPS |
|
|
Style Transfer (Q)
|
96% |
345626
446.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5840
215.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63604
2.35 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
98135
3.62 KIPS |
|
|
Text Classification (SP)
|
100% |
6131
8.18 KIPS |
|
|
Text Classification (HP)
|
100% |
6544
8.73 KIPS |
|
|
Text Classification (Q)
|
93% |
7028
9.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
5192
89.4 IPS |
|
|
Machine Translation (HP)
|
100% |
18401
317.0 IPS |
|
|
Machine Translation (Q)
|
98% |
19062
329.4 IPS |
