MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
11769
Single Precision Score
13877
Half Precision Score
12209
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 08 2025 02:55 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,7 |
| Motherboard | Mac15,7 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6019
1.12 KIPS |
|
|
Image Classification (HP)
|
100% |
6454
1.20 KIPS |
|
|
Image Classification (Q)
|
97% |
5430
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7566
122.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
10023
162.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10612
172.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
45415
53.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
48246
56.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
45616
53.5 IPS |
|
|
Object Detection (SP)
|
100% |
6108
484.5 IPS |
|
|
Object Detection (HP)
|
100% |
6503
515.8 IPS |
|
|
Object Detection (Q)
|
91% |
5361
428.4 IPS |
|
|
Face Detection (SP)
|
100% |
16922
201.1 IPS |
|
|
Face Detection (HP)
|
100% |
21804
259.1 IPS |
|
|
Face Detection (Q)
|
100% |
16313
193.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
27340
210.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
29980
231.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
25613
200.2 IPS |
|
|
Style Transfer (SP)
|
100% |
92667
119.1 IPS |
|
|
Style Transfer (HP)
|
100% |
105838
136.1 IPS |
|
|
Style Transfer (Q)
|
96% |
98814
127.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14850
548.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16401
605.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12399
457.8 IPS |
|
|
Text Classification (SP)
|
100% |
2802
3.74 KIPS |
|
|
Text Classification (HP)
|
100% |
4825
6.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4799
6.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
2264
39.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2384
41.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2126
36.7 IPS |
