MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
10927
Single Precision Score
12524
Half Precision Score
11349
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | brokenway |
| Upload Date | February 11 2025 01:34 AM |
| Views | 6 |
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 | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6076
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
6491
1.21 KIPS |
|
|
Image Classification (Q)
|
97% |
5483
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7416
120.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9997
162.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10562
171.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
45352
52.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
48284
56.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
45871
53.8 IPS |
|
|
Object Detection (SP)
|
100% |
5999
475.8 IPS |
|
|
Object Detection (HP)
|
100% |
6499
515.5 IPS |
|
|
Object Detection (Q)
|
91% |
5624
449.4 IPS |
|
|
Face Detection (SP)
|
100% |
16815
199.8 IPS |
|
|
Face Detection (HP)
|
100% |
21855
259.7 IPS |
|
|
Face Detection (Q)
|
100% |
16338
194.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
27087
208.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
29870
230.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
25924
202.6 IPS |
|
|
Style Transfer (SP)
|
100% |
92242
118.6 IPS |
|
|
Style Transfer (HP)
|
100% |
106284
136.6 IPS |
|
|
Style Transfer (Q)
|
96% |
98612
127.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15197
561.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16816
620.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12565
464.0 IPS |
|
|
Text Classification (SP)
|
100% |
2803
3.74 KIPS |
|
|
Text Classification (HP)
|
100% |
4960
6.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4915
6.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1107
19.1 IPS |
|
|
Machine Translation (HP)
|
100% |
806
13.9 IPS |
|
|
Machine Translation (Q)
|
98% |
920
15.9 IPS |
