Mac16,9
Geekbench AI Score
5983
Single Precision Score
36277
Half Precision Score
49461
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | sabotage |
| Upload Date | March 17 2025 05:04 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D2082) |
| Model | Mac16,9 |
| Model ID | Mac16,9 |
| Motherboard | Mac16,9 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2133
396.7 IPS |
|
|
Image Classification (HP)
|
100% |
16878
3.14 KIPS |
|
|
Image Classification (Q)
|
97% |
21994
4.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2582
41.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22603
366.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
31317
507.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
19231
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
123123
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
230277
269.9 IPS |
|
|
Object Detection (SP)
|
100% |
2583
204.9 IPS |
|
|
Object Detection (HP)
|
100% |
18799
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
22713
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
4749
56.4 IPS |
|
|
Face Detection (HP)
|
100% |
45065
535.5 IPS |
|
|
Face Detection (Q)
|
100% |
65814
782.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9182
70.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
109087
840.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
175979
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
37341
48.0 IPS |
|
|
Style Transfer (HP)
|
100% |
232638
299.1 IPS |
|
|
Style Transfer (Q)
|
96% |
296525
382.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7229
266.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44927
1.66 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76875
2.84 KIPS |
|
|
Text Classification (SP)
|
100% |
2960
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5397
7.20 KIPS |
|
|
Text Classification (Q)
|
93% |
5714
7.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
6172
106.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16124
277.7 IPS |
|
|
Machine Translation (Q)
|
98% |
16124
278.6 IPS |
