MacBook Pro (14-inch, 2024)
Geekbench AI Score
5562
Single Precision Score
37440
Half Precision Score
52214
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | mkhllr |
| Upload Date | April 02 2025 12:33 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2116
393.5 IPS |
|
|
Image Classification (HP)
|
100% |
17348
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
22810
4.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2354
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22959
372.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
33053
535.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17950
20.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
122599
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
228719
268.1 IPS |
|
|
Object Detection (SP)
|
100% |
2562
203.2 IPS |
|
|
Object Detection (HP)
|
100% |
19914
1.58 KIPS |
|
|
Object Detection (Q)
|
91% |
24252
1.94 KIPS |
|
|
Face Detection (SP)
|
100% |
4806
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
45133
536.3 IPS |
|
|
Face Detection (Q)
|
100% |
65306
776.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8804
67.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
106960
824.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
179392
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
26336
33.9 IPS |
|
|
Style Transfer (HP)
|
100% |
231044
297.0 IPS |
|
|
Style Transfer (Q)
|
96% |
303732
392.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6085
224.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47053
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78576
2.90 KIPS |
|
|
Text Classification (SP)
|
100% |
2960
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
6155
8.22 KIPS |
|
|
Text Classification (Q)
|
93% |
7564
10.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
6171
106.3 IPS |
|
|
Machine Translation (HP)
|
100% |
17233
296.9 IPS |
|
|
Machine Translation (Q)
|
98% |
17030
294.3 IPS |
