MacBook Pro (16-inch, 2024)
Geekbench AI Score
5961
Single Precision Score
36297
Half Precision Score
49185
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | MattKir |
| Upload Date | December 12 2024 09:37 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2146
399.2 IPS |
|
|
Image Classification (HP)
|
100% |
17332
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
21988
4.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2534
41.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22649
367.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
31307
507.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
19194
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
123128
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
229865
269.4 IPS |
|
|
Object Detection (SP)
|
100% |
2594
205.8 IPS |
|
|
Object Detection (HP)
|
100% |
19325
1.53 KIPS |
|
|
Object Detection (Q)
|
91% |
23700
1.89 KIPS |
|
|
Face Detection (SP)
|
100% |
4856
57.7 IPS |
|
|
Face Detection (HP)
|
100% |
44352
527.0 IPS |
|
|
Face Detection (Q)
|
100% |
64658
768.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9056
69.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
105102
809.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
178377
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
37024
47.6 IPS |
|
|
Style Transfer (HP)
|
100% |
232658
299.1 IPS |
|
|
Style Transfer (Q)
|
96% |
297009
383.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7249
267.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45990
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77578
2.86 KIPS |
|
|
Text Classification (SP)
|
100% |
2946
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5237
6.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5116
6.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
6025
103.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16270
280.3 IPS |
|
|
Machine Translation (Q)
|
98% |
16253
280.9 IPS |
