MacBook Pro (14-inch, 2024)
Geekbench AI Score
5970
Single Precision Score
36818
Half Precision Score
49178
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | viniciusdssilva |
| Upload Date | January 11 2025 05:46 PM |
| Views | 1 |
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 (14-inch, 2024) |
| Model ID | Mac16,6 |
| Motherboard | Mac16,6 |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2135
397.0 IPS |
|
|
Image Classification (HP)
|
100% |
17288
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
22621
4.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2536
41.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22655
367.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
33066
536.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
19170
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
123188
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
229508
269.0 IPS |
|
|
Object Detection (SP)
|
100% |
2590
205.4 IPS |
|
|
Object Detection (HP)
|
100% |
19084
1.51 KIPS |
|
|
Object Detection (Q)
|
91% |
23050
1.84 KIPS |
|
|
Face Detection (SP)
|
100% |
4879
58.0 IPS |
|
|
Face Detection (HP)
|
100% |
44278
526.1 IPS |
|
|
Face Detection (Q)
|
100% |
60921
723.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9058
69.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
109237
841.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
177371
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
37270
47.9 IPS |
|
|
Style Transfer (HP)
|
100% |
232391
298.7 IPS |
|
|
Style Transfer (Q)
|
96% |
297065
383.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7211
266.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45491
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77326
2.86 KIPS |
|
|
Text Classification (SP)
|
100% |
2951
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5989
7.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5055
6.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
6107
105.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16234
279.6 IPS |
|
|
Machine Translation (Q)
|
98% |
16665
288.0 IPS |
