MacBook Pro (16-inch, 2021)
Geekbench AI Score
3754
Single Precision Score
16414
Half Precision Score
16313
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | sse |
| Upload Date | November 29 2024 07:04 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| Model | MacBook Pro (16-inch, 2021) |
| Model ID | MacBookPro18,2 |
| Motherboard | MacBookPro18,2 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.16 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1330
247.3 IPS |
|
|
Image Classification (HP)
|
100% |
6603
1.23 KIPS |
|
|
Image Classification (Q)
|
96% |
6331
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1599
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9796
158.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10379
168.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11117
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
71894
83.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
67841
79.5 IPS |
|
|
Object Detection (SP)
|
100% |
1591
126.2 IPS |
|
|
Object Detection (HP)
|
99% |
7765
617.7 IPS |
|
|
Object Detection (Q)
|
91% |
7255
579.7 IPS |
|
|
Face Detection (SP)
|
100% |
3390
40.3 IPS |
|
|
Face Detection (HP)
|
100% |
15419
183.2 IPS |
|
|
Face Detection (Q)
|
100% |
14846
176.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5842
45.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
51373
395.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
52890
413.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22366
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
121010
155.6 IPS |
|
|
Style Transfer (Q)
|
96% |
116920
150.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4384
161.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25449
939.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27215
1.00 KIPS |
|
|
Text Classification (SP)
|
100% |
2249
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3901
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3855
5.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3392
58.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4132
71.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4286
74.1 IPS |
