MacBook Pro (14-inch, 2024)
Geekbench AI Score
21835
Single Precision Score
24257
Half Precision Score
21811
Quantized Score
Geekbench AI 1.2.0 Pro for macOS AArch64
Result Information
| User | mprimeaux |
| Upload Date | February 01 2025 10:13 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10544
1.96 KIPS |
|
|
Image Classification (HP)
|
100% |
10585
1.97 KIPS |
|
|
Image Classification (Q)
|
97% |
8813
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19322
313.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
20259
328.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
20990
340.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
107204
125.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
109936
128.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
104250
122.2 IPS |
|
|
Object Detection (SP)
|
100% |
9381
744.1 IPS |
|
|
Object Detection (HP)
|
100% |
10334
819.7 IPS |
|
|
Object Detection (Q)
|
91% |
9018
720.6 IPS |
|
|
Face Detection (SP)
|
100% |
39206
465.9 IPS |
|
|
Face Detection (HP)
|
100% |
41704
495.5 IPS |
|
|
Face Detection (Q)
|
100% |
32325
384.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
45042
347.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
47534
366.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
39605
309.5 IPS |
|
|
Style Transfer (SP)
|
100% |
219565
282.3 IPS |
|
|
Style Transfer (HP)
|
100% |
237488
305.3 IPS |
|
|
Style Transfer (Q)
|
96% |
218367
281.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29567
1.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
32343
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26390
974.5 IPS |
|
|
Text Classification (SP)
|
100% |
2981
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5438
7.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5412
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3519
60.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3497
60.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3510
60.7 IPS |
