MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4165
Single Precision Score
32319
Half Precision Score
36889
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | 365azureguy |
| Upload Date | November 07 2024 05:03 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
1574
292.8 IPS |
|
|
Image Classification (HP)
|
100% |
16770
3.12 KIPS |
|
|
Image Classification (Q)
|
97% |
20945
3.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1897
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21982
356.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
27403
444.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8960
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
122310
142.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
119845
140.5 IPS |
|
|
Object Detection (SP)
|
100% |
1841
146.1 IPS |
|
|
Object Detection (HP)
|
100% |
17522
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
20311
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
3730
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
38875
461.9 IPS |
|
|
Face Detection (Q)
|
100% |
50520
600.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7259
55.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
96758
745.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
120986
945.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22445
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
225782
290.2 IPS |
|
|
Style Transfer (Q)
|
96% |
219557
283.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5289
195.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44256
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55653
2.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2779
3.71 KIPS |
|
|
Text Classification (HP)
|
100% |
4923
6.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4819
6.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3573
61.5 IPS |
|
|
Machine Translation (HP)
|
100% |
8507
146.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9280
160.4 IPS |
