MacBook Pro (16-inch, 2024)
Geekbench AI Score
5982
Single Precision Score
37107
Half Precision Score
50106
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | RGPphotog |
| Upload Date | March 02 2025 06:14 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2162
402.0 IPS |
|
|
Image Classification (HP)
|
100% |
17146
3.19 KIPS |
|
|
Image Classification (Q)
|
97% |
21671
4.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2575
41.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
23150
375.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
32761
531.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
19163
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
124352
145.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
232968
273.1 IPS |
|
|
Object Detection (SP)
|
100% |
2598
206.0 IPS |
|
|
Object Detection (HP)
|
100% |
20990
1.66 KIPS |
|
|
Object Detection (Q)
|
91% |
24296
1.94 KIPS |
|
|
Face Detection (SP)
|
100% |
4789
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
44170
524.8 IPS |
|
|
Face Detection (Q)
|
100% |
64334
764.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9097
70.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
110837
853.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
178766
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
37052
47.6 IPS |
|
|
Style Transfer (HP)
|
100% |
232573
299.0 IPS |
|
|
Style Transfer (Q)
|
96% |
299008
385.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7210
266.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45553
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77599
2.87 KIPS |
|
|
Text Classification (SP)
|
100% |
2980
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5525
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5544
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
6109
105.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16672
287.2 IPS |
|
|
Machine Translation (Q)
|
98% |
16780
290.0 IPS |
