MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
9794
Single Precision Score
11242
Half Precision Score
3418
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 14 2024 12:56 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
6190
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
6671
1.24 KIPS |
|
|
Image Classification (Q)
|
97% |
5085
948.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7907
128.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
10184
165.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10310
167.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
45817
53.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
48925
57.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
44765
52.4 IPS |
|
|
Object Detection (SP)
|
100% |
6165
489.0 IPS |
|
|
Object Detection (HP)
|
100% |
6471
513.3 IPS |
|
|
Object Detection (Q)
|
92% |
5249
419.0 IPS |
|
|
Face Detection (SP)
|
100% |
16301
193.7 IPS |
|
|
Face Detection (HP)
|
100% |
20949
248.9 IPS |
|
|
Face Detection (Q)
|
100% |
15205
180.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
29068
223.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
32086
247.2 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
199.2 IPS |
|
|
Style Transfer (SP)
|
100% |
93999
120.8 IPS |
|
|
Style Transfer (HP)
|
100% |
107240
137.9 IPS |
|
|
Style Transfer (Q)
|
96% |
99622
128.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15625
577.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17405
642.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12574
464.3 IPS |
|
|
Text Classification (SP)
|
100% |
626
835.4 IPS |
|
|
Text Classification (HP)
|
100% |
788
1.05 KIPS |
|
|
Text Classification (Q)
|
93% |
597
801.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1349
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1517
26.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1556
26.9 IPS |
