MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
3915
Single Precision Score
28400
Half Precision Score
31894
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | dokidoki0802 |
| Upload Date | October 09 2024 06:07 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5070a) |
| 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% |
1550
288.2 IPS |
|
|
Image Classification (HP)
|
100% |
16831
3.13 KIPS |
|
|
Image Classification (Q)
|
99% |
19011
3.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1945
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16470
267.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
16456
266.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8828
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
117499
137.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
115580
135.6 IPS |
|
|
Object Detection (SP)
|
100% |
1810
143.6 IPS |
|
|
Object Detection (HP)
|
100% |
16312
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
20074
1.60 KIPS |
|
|
Face Detection (SP)
|
100% |
3623
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
25070
297.9 IPS |
|
|
Face Detection (Q)
|
100% |
40242
478.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7028
54.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
79627
613.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
88498
684.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18479
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
165647
212.9 IPS |
|
|
Style Transfer (Q)
|
100% |
165960
213.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4416
163.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45490
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
53849
2.00 KIPS |
|
|
Text Classification (SP)
|
100% |
2619
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4657
6.22 KIPS |
|
|
Text Classification (Q)
|
93% |
4632
6.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3234
55.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9173
158.0 IPS |
|
|
Machine Translation (Q)
|
98% |
10179
175.9 IPS |
