MacBook Pro (16-inch, 2021)
Geekbench AI Score
3705
Single Precision Score
16266
Half Precision Score
16154
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | maxxx |
| Upload Date | January 29 2025 05:09 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| Model | MacBook Pro (16-inch, 2021) |
| Model ID | MacBookPro18,1 |
| Motherboard | MacBookPro18,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1239
230.4 IPS |
|
|
Image Classification (HP)
|
100% |
6716
1.25 KIPS |
|
|
Image Classification (Q)
|
96% |
6456
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1598
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9699
157.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10246
166.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11134
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
69824
81.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
65831
77.2 IPS |
|
|
Object Detection (SP)
|
100% |
1582
125.5 IPS |
|
|
Object Detection (HP)
|
99% |
7893
627.9 IPS |
|
|
Object Detection (Q)
|
91% |
7380
589.7 IPS |
|
|
Face Detection (SP)
|
100% |
3238
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
15865
188.5 IPS |
|
|
Face Detection (Q)
|
100% |
14801
175.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5979
46.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
51072
393.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
53211
415.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22351
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
119797
154.0 IPS |
|
|
Style Transfer (Q)
|
96% |
115331
148.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4329
159.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25824
953.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27797
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2268
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3878
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3860
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3293
56.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3716
64.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3865
66.8 IPS |
