Mac17,2
Geekbench AI Score
5575
Single Precision Score
41844
Half Precision Score
59313
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Ravageeject84 |
| Upload Date | March 26 2026 10:42 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| Model | Mac17,2 |
| Model ID | Mac17,2 |
| Motherboard | Mac17,2 |
| CPU Information | |
|---|---|
| Name | Apple M5 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M5 |
| Base Frequency | 4.61 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2234
415.4 IPS |
|
|
Image Classification (HP)
|
100% |
17723
3.30 KIPS |
|
|
Image Classification (Q)
|
97% |
25537
4.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2468
40.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
24530
397.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
35098
569.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9822
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
177493
207.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
328626
385.2 IPS |
|
|
Object Detection (SP)
|
100% |
2702
214.3 IPS |
|
|
Object Detection (HP)
|
100% |
18904
1.50 KIPS |
|
|
Object Detection (Q)
|
89% |
27889
2.23 KIPS |
|
|
Face Detection (SP)
|
100% |
5083
60.4 IPS |
|
|
Face Detection (HP)
|
100% |
48409
575.2 IPS |
|
|
Face Detection (Q)
|
100% |
74587
886.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8813
67.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
110761
853.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
193931
1.52 KIPS |
|
|
Style Transfer (SP)
|
100% |
25451
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
272025
349.7 IPS |
|
|
Style Transfer (Q)
|
96% |
346640
447.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5832
215.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63355
2.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
102062
3.77 KIPS |
|
|
Text Classification (SP)
|
100% |
5846
7.80 KIPS |
|
|
Text Classification (HP)
|
100% |
6501
8.68 KIPS |
|
|
Text Classification (Q)
|
93% |
6759
9.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
5104
87.9 IPS |
|
|
Machine Translation (HP)
|
100% |
18780
323.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18968
327.8 IPS |
