MacBook Pro (16-inch, 2021)
Geekbench AI Score
3731
Single Precision Score
15589
Half Precision Score
15620
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 07 2025 05:24 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1303
242.4 IPS |
|
|
Image Classification (HP)
|
100% |
6456
1.20 KIPS |
|
|
Image Classification (Q)
|
96% |
6157
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1620
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9420
152.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10067
163.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11325
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
70543
82.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
66877
78.4 IPS |
|
|
Object Detection (SP)
|
100% |
1558
123.6 IPS |
|
|
Object Detection (HP)
|
99% |
7493
596.0 IPS |
|
|
Object Detection (Q)
|
91% |
7045
563.0 IPS |
|
|
Face Detection (SP)
|
100% |
3321
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
13880
164.9 IPS |
|
|
Face Detection (Q)
|
100% |
13648
162.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5925
45.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
50274
387.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
52529
410.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22308
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
119877
154.1 IPS |
|
|
Style Transfer (Q)
|
96% |
115593
149.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4300
158.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25869
955.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27742
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2207
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
3826
5.11 KIPS |
|
|
Text Classification (Q)
|
93% |
3951
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3375
58.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3185
54.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3261
56.4 IPS |
