MacBook Pro (14-inch, 2024)
Geekbench AI Score
21426
Single Precision Score
23935
Half Precision Score
21477
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | riussi |
| Upload Date | March 27 2025 01:23 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
9968
1.85 KIPS |
|
|
Image Classification (HP)
|
100% |
10246
1.91 KIPS |
|
|
Image Classification (Q)
|
97% |
8684
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19287
312.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
20453
331.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
21324
345.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
106898
124.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
109543
127.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
103626
121.5 IPS |
|
|
Object Detection (SP)
|
100% |
8970
711.5 IPS |
|
|
Object Detection (HP)
|
100% |
9918
786.7 IPS |
|
|
Object Detection (Q)
|
91% |
8610
688.0 IPS |
|
|
Face Detection (SP)
|
100% |
39610
470.7 IPS |
|
|
Face Detection (HP)
|
100% |
39209
465.9 IPS |
|
|
Face Detection (Q)
|
100% |
31967
379.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
43668
336.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
47067
362.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
39329
307.4 IPS |
|
|
Style Transfer (SP)
|
100% |
220395
283.3 IPS |
|
|
Style Transfer (HP)
|
100% |
238520
306.6 IPS |
|
|
Style Transfer (Q)
|
96% |
218012
281.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29534
1.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
31692
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25991
959.7 IPS |
|
|
Text Classification (SP)
|
100% |
3013
4.02 KIPS |
|
|
Text Classification (HP)
|
100% |
5551
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5454
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3262
56.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3501
60.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3254
56.2 IPS |
