MacBook Pro (16-inch, 2021)
Geekbench AI Score
3669
Single Precision Score
5844
Half Precision Score
4715
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | jobieh |
| Upload Date | June 01 2025 01:37 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1347
250.5 IPS |
|
|
Image Classification (HP)
|
100% |
2028
377.1 IPS |
|
|
Image Classification (Q)
|
96% |
1509
281.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1518
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2257
36.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2601
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10924
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
22494
26.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
17499
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
1552
123.1 IPS |
|
|
Object Detection (HP)
|
97% |
2310
183.9 IPS |
|
|
Object Detection (Q)
|
94% |
1730
137.9 IPS |
|
|
Face Detection (SP)
|
100% |
3239
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
5255
62.4 IPS |
|
|
Face Detection (Q)
|
100% |
3115
37.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5777
44.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10174
78.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7187
56.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21973
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
33005
42.4 IPS |
|
|
Style Transfer (Q)
|
96% |
26679
34.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4372
161.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5852
216.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4059
149.9 IPS |
|
|
Text Classification (SP)
|
100% |
2297
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3968
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3992
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3092
53.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4775
82.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4725
81.7 IPS |
