MacBook Pro (14-inch, 2024)
Geekbench AI Score
5784
Single Precision Score
36503
Half Precision Score
51118
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | vista747 |
| Upload Date | April 16 2025 07:21 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2086
387.8 IPS |
|
|
Image Classification (HP)
|
100% |
17368
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
23580
4.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2475
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23295
377.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
32217
522.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
18924
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
123069
143.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
231111
270.9 IPS |
|
|
Object Detection (SP)
|
100% |
2492
197.7 IPS |
|
|
Object Detection (HP)
|
100% |
20200
1.60 KIPS |
|
|
Object Detection (Q)
|
91% |
25999
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
4549
54.1 IPS |
|
|
Face Detection (HP)
|
100% |
45543
541.1 IPS |
|
|
Face Detection (Q)
|
100% |
65859
782.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8812
67.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
112202
864.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
177821
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
35606
45.8 IPS |
|
|
Style Transfer (HP)
|
100% |
238603
306.7 IPS |
|
|
Style Transfer (Q)
|
96% |
301185
388.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7047
260.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46314
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79103
2.92 KIPS |
|
|
Text Classification (SP)
|
100% |
2960
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
4565
6.09 KIPS |
|
|
Text Classification (Q)
|
93% |
5534
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
5790
99.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16204
279.1 IPS |
|
|
Machine Translation (Q)
|
98% |
17285
298.7 IPS |
