MacBook Pro (16-inch, 2021)
Geekbench AI Score
3728
Single Precision Score
16452
Half Precision Score
16409
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Hulkstern |
| Upload Date | March 11 2025 10:20 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1287
239.3 IPS |
|
|
Image Classification (HP)
|
100% |
7018
1.31 KIPS |
|
|
Image Classification (Q)
|
96% |
6727
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1623
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9761
158.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10437
169.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11231
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
72208
84.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
68210
79.9 IPS |
|
|
Object Detection (SP)
|
100% |
1592
126.3 IPS |
|
|
Object Detection (HP)
|
99% |
7976
634.5 IPS |
|
|
Object Detection (Q)
|
91% |
7534
602.0 IPS |
|
|
Face Detection (SP)
|
100% |
3252
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
15472
183.8 IPS |
|
|
Face Detection (Q)
|
100% |
14893
177.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5864
45.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
52204
402.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
54397
425.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22487
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
121982
156.8 IPS |
|
|
Style Transfer (Q)
|
96% |
117367
151.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4404
162.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26579
981.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28613
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2238
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3874
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3857
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3288
56.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3630
62.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3740
64.6 IPS |
