MacBook Pro (16-inch, 2021)
Geekbench AI Score
3492
Single Precision Score
15552
Half Precision Score
15560
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | icreatefrance |
| Upload Date | November 11 2024 10:58 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 2.67 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1241
230.8 IPS |
|
|
Image Classification (HP)
|
100% |
6339
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
6305
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1499
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9295
150.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9840
159.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10444
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
69634
81.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
66207
77.6 IPS |
|
|
Object Detection (SP)
|
100% |
1467
116.3 IPS |
|
|
Object Detection (HP)
|
99% |
7269
578.2 IPS |
|
|
Object Detection (Q)
|
91% |
6967
556.7 IPS |
|
|
Face Detection (SP)
|
100% |
2994
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
14674
174.4 IPS |
|
|
Face Detection (Q)
|
100% |
13918
165.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5476
42.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
48733
375.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
51224
400.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20920
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
118447
152.3 IPS |
|
|
Style Transfer (Q)
|
96% |
113992
147.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4132
152.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25043
924.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26819
990.3 IPS |
|
|
Text Classification (SP)
|
100% |
2129
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
3583
4.78 KIPS |
|
|
Text Classification (Q)
|
93% |
3614
4.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3142
54.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3652
62.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3693
63.8 IPS |
