MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
10503
Single Precision Score
12401
Half Precision Score
10836
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | rc335 |
| Upload Date | October 20 2024 02:36 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| 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% |
5901
1.10 KIPS |
|
|
Image Classification (HP)
|
100% |
6461
1.20 KIPS |
|
|
Image Classification (Q)
|
97% |
4871
909.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
6838
110.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9463
153.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10013
162.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
44732
52.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
47796
55.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
44020
51.6 IPS |
|
|
Object Detection (SP)
|
100% |
5761
457.0 IPS |
|
|
Object Detection (HP)
|
100% |
6337
502.7 IPS |
|
|
Object Detection (Q)
|
91% |
5101
407.6 IPS |
|
|
Face Detection (SP)
|
100% |
15886
188.8 IPS |
|
|
Face Detection (HP)
|
100% |
19950
237.1 IPS |
|
|
Face Detection (Q)
|
100% |
14652
174.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
26115
201.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
29740
229.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
23848
186.4 IPS |
|
|
Style Transfer (SP)
|
100% |
90666
116.6 IPS |
|
|
Style Transfer (HP)
|
100% |
104177
133.9 IPS |
|
|
Style Transfer (Q)
|
96% |
96386
124.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15082
556.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16180
597.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11847
437.4 IPS |
|
|
Text Classification (SP)
|
100% |
2812
3.75 KIPS |
|
|
Text Classification (HP)
|
100% |
4921
6.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4908
6.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
985
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
944
16.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1041
18.0 IPS |
