MacBook Pro (14-inch, 2024)
Geekbench AI Score
21750
Single Precision Score
24010
Half Precision Score
21542
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | jaxxdotred |
| Upload Date | March 01 2025 07:17 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10083
1.88 KIPS |
|
|
Image Classification (HP)
|
100% |
10529
1.96 KIPS |
|
|
Image Classification (Q)
|
97% |
8781
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19641
318.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20503
332.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
21113
342.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
107108
125.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
109485
127.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
103369
121.2 IPS |
|
|
Object Detection (SP)
|
100% |
9127
724.0 IPS |
|
|
Object Detection (HP)
|
100% |
10119
802.6 IPS |
|
|
Object Detection (Q)
|
91% |
8652
691.3 IPS |
|
|
Face Detection (SP)
|
100% |
40533
481.6 IPS |
|
|
Face Detection (HP)
|
100% |
43069
511.8 IPS |
|
|
Face Detection (Q)
|
100% |
31312
372.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
44082
339.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
46523
358.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
39680
310.1 IPS |
|
|
Style Transfer (SP)
|
100% |
220359
283.3 IPS |
|
|
Style Transfer (HP)
|
100% |
237463
305.3 IPS |
|
|
Style Transfer (Q)
|
96% |
218535
282.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29685
1.10 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
31958
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25641
946.8 IPS |
|
|
Text Classification (SP)
|
100% |
2979
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5408
7.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5365
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3516
60.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3238
55.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3476
60.1 IPS |
