MacBook Pro 16" M4 Max Mac16,5
Geekbench AI Score
5868
Single Precision Score
36228
Half Precision Score
48772
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Technoguide |
| Upload Date | November 09 2024 05:18 PM |
| Views | 7 |
| Notes | 36 GBs |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2082) |
| Model | Mac16,5 |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2088
388.3 IPS |
|
|
Image Classification (HP)
|
100% |
17501
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
22177
4.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2519
40.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22609
366.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
31100
504.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
19028
22.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
123214
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
229665
269.2 IPS |
|
|
Object Detection (SP)
|
100% |
2544
201.8 IPS |
|
|
Object Detection (HP)
|
100% |
19340
1.53 KIPS |
|
|
Object Detection (Q)
|
91% |
23707
1.89 KIPS |
|
|
Face Detection (SP)
|
100% |
4689
55.7 IPS |
|
|
Face Detection (HP)
|
100% |
44296
526.3 IPS |
|
|
Face Detection (Q)
|
100% |
61652
732.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8980
69.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
104413
804.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
176652
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
35715
45.9 IPS |
|
|
Style Transfer (HP)
|
100% |
232119
298.4 IPS |
|
|
Style Transfer (Q)
|
96% |
297068
383.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7111
262.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45419
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77655
2.87 KIPS |
|
|
Text Classification (SP)
|
100% |
2969
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5260
7.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5039
6.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
5997
103.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16107
277.4 IPS |
|
|
Machine Translation (Q)
|
98% |
16022
276.9 IPS |
