MacBook Pro (14-inch, 2024)
Geekbench AI Score
15074
Single Precision Score
17016
Half Precision Score
15788
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | melik_alexey |
| Upload Date | April 07 2025 05:51 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7223
1.34 KIPS |
|
|
Image Classification (HP)
|
100% |
7633
1.42 KIPS |
|
|
Image Classification (Q)
|
96% |
6873
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12402
201.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
12903
209.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
12255
198.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
46028
53.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
48121
56.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
46900
55.0 IPS |
|
|
Object Detection (SP)
|
100% |
6671
529.1 IPS |
|
|
Object Detection (HP)
|
100% |
7217
572.4 IPS |
|
|
Object Detection (Q)
|
92% |
6524
520.8 IPS |
|
|
Face Detection (SP)
|
100% |
23448
278.6 IPS |
|
|
Face Detection (HP)
|
100% |
26192
311.2 IPS |
|
|
Face Detection (Q)
|
100% |
21748
258.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
31339
241.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
33283
256.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
29898
233.8 IPS |
|
|
Style Transfer (SP)
|
100% |
104922
134.9 IPS |
|
|
Style Transfer (HP)
|
100% |
114316
147.0 IPS |
|
|
Style Transfer (Q)
|
96% |
108785
140.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17062
630.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18283
675.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16124
595.4 IPS |
|
|
Text Classification (SP)
|
100% |
2907
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5297
7.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5320
7.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
5762
99.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6167
106.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6154
106.3 IPS |
