MacBook Pro (14-inch, 2024)
Geekbench AI Score
5861
Single Precision Score
36740
Half Precision Score
49237
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | strauch27 |
| Upload Date | January 25 2025 09:38 PM |
| Views | 7 |
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, 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% |
2098
390.1 IPS |
|
|
Image Classification (HP)
|
100% |
17861
3.32 KIPS |
|
|
Image Classification (Q)
|
97% |
21980
4.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2501
40.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22638
367.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
31344
508.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
19111
22.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
123097
143.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
230897
270.6 IPS |
|
|
Object Detection (SP)
|
100% |
2544
201.8 IPS |
|
|
Object Detection (HP)
|
100% |
19908
1.58 KIPS |
|
|
Object Detection (Q)
|
91% |
23668
1.89 KIPS |
|
|
Face Detection (SP)
|
100% |
4648
55.2 IPS |
|
|
Face Detection (HP)
|
100% |
44409
527.7 IPS |
|
|
Face Detection (Q)
|
100% |
63841
758.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8998
69.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
110513
851.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
176641
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
35609
45.8 IPS |
|
|
Style Transfer (HP)
|
100% |
232790
299.3 IPS |
|
|
Style Transfer (Q)
|
96% |
296471
382.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7103
262.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46077
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77512
2.86 KIPS |
|
|
Text Classification (SP)
|
100% |
2942
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5351
7.14 KIPS |
|
|
Text Classification (Q)
|
93% |
5324
7.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
6028
103.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16058
276.6 IPS |
|
|
Machine Translation (Q)
|
98% |
16123
278.6 IPS |
