MacBook Pro (14-inch, 2024)
Geekbench AI Score
23205
Single Precision Score
26185
Half Precision Score
24236
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | mkhllr |
| Upload Date | April 02 2025 12:35 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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% |
10193
1.90 KIPS |
|
|
Image Classification (HP)
|
100% |
10615
1.97 KIPS |
|
|
Image Classification (Q)
|
96% |
9388
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23329
378.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
24374
395.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
22796
369.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
106188
123.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
109915
128.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
105826
124.0 IPS |
|
|
Object Detection (SP)
|
100% |
8757
694.6 IPS |
|
|
Object Detection (HP)
|
100% |
10061
798.0 IPS |
|
|
Object Detection (Q)
|
92% |
9271
740.0 IPS |
|
|
Face Detection (SP)
|
100% |
39460
468.9 IPS |
|
|
Face Detection (HP)
|
100% |
40643
482.9 IPS |
|
|
Face Detection (Q)
|
100% |
34137
405.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
44156
340.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
47323
364.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
43034
336.5 IPS |
|
|
Style Transfer (SP)
|
100% |
221232
284.4 IPS |
|
|
Style Transfer (HP)
|
100% |
239227
307.5 IPS |
|
|
Style Transfer (Q)
|
96% |
231775
299.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29989
1.11 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
32173
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27801
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2892
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5451
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5379
7.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
6125
105.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6565
113.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6541
113.0 IPS |
