MacBook Pro (16-inch, 2024)
Geekbench AI Score
15406
Single Precision Score
17344
Half Precision Score
15441
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | absolutzombie |
| Upload Date | February 13 2025 03:39 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,7 |
| Motherboard | Mac16,7 |
| 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% |
7629
1.42 KIPS |
|
|
Image Classification (HP)
|
100% |
7996
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
6852
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11964
193.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
12960
210.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
13319
215.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
56771
66.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
59071
68.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
55845
65.5 IPS |
|
|
Object Detection (SP)
|
100% |
7157
567.7 IPS |
|
|
Object Detection (HP)
|
100% |
7763
615.8 IPS |
|
|
Object Detection (Q)
|
91% |
6372
509.2 IPS |
|
|
Face Detection (SP)
|
100% |
25867
307.4 IPS |
|
|
Face Detection (HP)
|
100% |
29056
345.2 IPS |
|
|
Face Detection (Q)
|
100% |
20902
248.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
33281
256.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
36081
278.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
29629
231.6 IPS |
|
|
Style Transfer (SP)
|
100% |
124063
159.5 IPS |
|
|
Style Transfer (HP)
|
100% |
134895
173.4 IPS |
|
|
Style Transfer (Q)
|
96% |
130928
169.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22888
845.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24197
893.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18969
700.4 IPS |
|
|
Text Classification (SP)
|
100% |
2926
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5165
6.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5153
6.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
2841
48.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2934
50.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2994
51.7 IPS |
