Mac16,9
Geekbench AI Score
5585
Single Precision Score
36532
Half Precision Score
49444
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 17 2025 11:11 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | Mac16,9 |
| Model ID | Mac16,9 |
| Motherboard | Mac16,9 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2133
396.7 IPS |
|
|
Image Classification (HP)
|
100% |
17093
3.18 KIPS |
|
|
Image Classification (Q)
|
97% |
21965
4.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2339
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22674
367.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
31266
506.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18227
21.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
122474
142.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
230616
270.3 IPS |
|
|
Object Detection (SP)
|
100% |
2602
206.4 IPS |
|
|
Object Detection (HP)
|
100% |
19090
1.51 KIPS |
|
|
Object Detection (Q)
|
91% |
23400
1.87 KIPS |
|
|
Face Detection (SP)
|
100% |
4801
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
45187
536.9 IPS |
|
|
Face Detection (Q)
|
100% |
59957
712.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8872
68.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
106141
817.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
178394
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
26207
33.7 IPS |
|
|
Style Transfer (HP)
|
100% |
232542
298.9 IPS |
|
|
Style Transfer (Q)
|
96% |
297584
384.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6180
228.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45773
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77117
2.85 KIPS |
|
|
Text Classification (SP)
|
100% |
2928
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5559
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5634
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
6180
106.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16464
283.6 IPS |
|
|
Machine Translation (Q)
|
98% |
17041
294.5 IPS |
