Mac17,2
Geekbench AI Score
5310
Single Precision Score
41432
Half Precision Score
57740
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 19 2025 08:28 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
2329
433.1 IPS |
|
|
Image Classification (HP)
|
100% |
18547
3.45 KIPS |
|
|
Image Classification (Q)
|
97% |
24298
4.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2403
39.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
24105
390.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
33635
545.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11388
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
176198
205.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
333289
390.6 IPS |
|
|
Object Detection (SP)
|
100% |
2645
209.8 IPS |
|
|
Object Detection (HP)
|
100% |
18145
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
26817
2.14 KIPS |
|
|
Face Detection (SP)
|
100% |
4724
56.1 IPS |
|
|
Face Detection (HP)
|
100% |
46840
556.6 IPS |
|
|
Face Detection (Q)
|
100% |
66004
784.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9085
70.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
111087
855.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
181157
1.42 KIPS |
|
|
Style Transfer (SP)
|
100% |
27515
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
269875
346.9 IPS |
|
|
Style Transfer (Q)
|
96% |
373570
482.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5989
221.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63507
2.35 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
101392
3.74 KIPS |
|
|
Text Classification (SP)
|
100% |
3044
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
6551
8.74 KIPS |
|
|
Text Classification (Q)
|
93% |
6714
9.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
4911
84.6 IPS |
|
|
Machine Translation (HP)
|
100% |
17853
307.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18544
320.5 IPS |
