MacBook Pro (14-inch, 2024)
Geekbench AI Score
5740
Single Precision Score
36372
Half Precision Score
49025
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | nekeino |
| Upload Date | February 02 2025 05:48 AM |
| Views | 26 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
2076
386.1 IPS |
|
|
Image Classification (HP)
|
100% |
17526
3.26 KIPS |
|
|
Image Classification (Q)
|
97% |
21343
3.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2436
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
23150
375.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
32079
520.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
18922
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
123163
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
229064
268.5 IPS |
|
|
Object Detection (SP)
|
100% |
2480
196.7 IPS |
|
|
Object Detection (HP)
|
100% |
19270
1.53 KIPS |
|
|
Object Detection (Q)
|
91% |
23521
1.88 KIPS |
|
|
Face Detection (SP)
|
100% |
4577
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
44474
528.5 IPS |
|
|
Face Detection (Q)
|
100% |
63486
754.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8614
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
105180
810.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
176003
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
35404
45.5 IPS |
|
|
Style Transfer (HP)
|
100% |
237465
305.3 IPS |
|
|
Style Transfer (Q)
|
96% |
302981
391.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7011
258.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45779
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77372
2.86 KIPS |
|
|
Text Classification (SP)
|
100% |
2928
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5178
6.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5151
6.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
5715
98.4 IPS |
|
|
Machine Translation (HP)
|
100% |
15982
275.3 IPS |
|
|
Machine Translation (Q)
|
98% |
16115
278.5 IPS |
