MacBook Pro (16-inch, 2021)
Geekbench AI Score
3679
Single Precision Score
15096
Half Precision Score
14976
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | arjanscholl |
| Upload Date | October 13 2024 07:35 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5055e) |
| 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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1313
244.1 IPS |
|
|
Image Classification (HP)
|
100% |
6577
1.22 KIPS |
|
|
Image Classification (Q)
|
96% |
6290
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1581
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9702
157.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10294
166.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10765
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
69666
81.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
65702
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
1571
124.6 IPS |
|
|
Object Detection (HP)
|
99% |
7770
618.1 IPS |
|
|
Object Detection (Q)
|
91% |
7271
581.0 IPS |
|
|
Face Detection (SP)
|
100% |
3293
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
16226
192.8 IPS |
|
|
Face Detection (Q)
|
100% |
15120
179.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5906
45.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
50679
390.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
52852
413.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21292
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
119898
154.1 IPS |
|
|
Style Transfer (Q)
|
96% |
115825
149.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4165
153.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25570
944.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27723
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2218
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3731
4.98 KIPS |
|
|
Text Classification (Q)
|
93% |
3776
5.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3383
58.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1892
32.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1894
32.7 IPS |
