MacBook Pro (14-inch, 2024)
Geekbench AI Score
9252
Single Precision Score
11139
Half Precision Score
10035
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 01 2025 02:06 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,1 |
| Motherboard | Mac16,1 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4670
868.4 IPS |
|
|
Image Classification (HP)
|
100% |
4995
928.9 IPS |
|
|
Image Classification (Q)
|
97% |
4354
812.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
5049
81.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7072
114.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7754
125.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
29930
34.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
32064
37.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
30570
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
5028
398.8 IPS |
|
|
Object Detection (HP)
|
100% |
5474
434.2 IPS |
|
|
Object Detection (Q)
|
91% |
4627
369.7 IPS |
|
|
Face Detection (SP)
|
100% |
13147
156.2 IPS |
|
|
Face Detection (HP)
|
100% |
16457
195.5 IPS |
|
|
Face Detection (Q)
|
100% |
12530
148.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
21488
165.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
23614
181.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
20383
159.3 IPS |
|
|
Style Transfer (SP)
|
100% |
59088
76.0 IPS |
|
|
Style Transfer (HP)
|
100% |
71977
92.5 IPS |
|
|
Style Transfer (Q)
|
96% |
68025
87.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12348
456.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13735
507.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10697
395.0 IPS |
|
|
Text Classification (SP)
|
100% |
3034
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
5573
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5259
7.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2072
35.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2217
38.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2219
38.3 IPS |
