MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
11824
Single Precision Score
13926
Half Precision Score
12401
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | gorghimself |
| Upload Date | January 29 2025 05:17 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6041
1.12 KIPS |
|
|
Image Classification (HP)
|
100% |
6488
1.21 KIPS |
|
|
Image Classification (Q)
|
97% |
5459
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7503
121.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
10013
162.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10574
171.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
45335
52.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
48392
56.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
45663
53.5 IPS |
|
|
Object Detection (SP)
|
100% |
6060
480.7 IPS |
|
|
Object Detection (HP)
|
100% |
6444
511.1 IPS |
|
|
Object Detection (Q)
|
91% |
5399
431.4 IPS |
|
|
Face Detection (SP)
|
100% |
17154
203.8 IPS |
|
|
Face Detection (HP)
|
100% |
21715
258.0 IPS |
|
|
Face Detection (Q)
|
100% |
16230
192.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
27350
210.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
29879
230.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
25577
199.9 IPS |
|
|
Style Transfer (SP)
|
100% |
92635
119.1 IPS |
|
|
Style Transfer (HP)
|
100% |
106074
136.4 IPS |
|
|
Style Transfer (Q)
|
96% |
98657
127.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15164
559.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16334
603.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12405
458.1 IPS |
|
|
Text Classification (SP)
|
100% |
2795
3.73 KIPS |
|
|
Text Classification (HP)
|
100% |
4902
6.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4866
6.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
2329
40.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2458
42.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2446
42.3 IPS |
