MacBook Pro (16-inch, 2021)
Geekbench AI Score
2806
Single Precision Score
4303
Half Precision Score
3554
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | drjuso |
| Upload Date | January 07 2025 08:03 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.7.2 (Build 23H311) |
| 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% |
1281
238.2 IPS |
|
|
Image Classification (HP)
|
100% |
1637
304.5 IPS |
|
|
Image Classification (Q)
|
99% |
1632
304.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1267
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1229
19.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
1226
19.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5670
6.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
13198
15.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
11269
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1384
109.8 IPS |
|
|
Object Detection (HP)
|
97% |
1918
152.7 IPS |
|
|
Object Detection (Q)
|
94% |
1484
118.2 IPS |
|
|
Face Detection (SP)
|
100% |
2598
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
4054
48.2 IPS |
|
|
Face Detection (Q)
|
100% |
2665
31.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5086
39.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
7927
61.3 IPS |
|
|
Depth Estimation (Q)
|
96% |
3788
29.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15354
19.7 IPS |
|
|
Style Transfer (HP)
|
100% |
24297
31.2 IPS |
|
|
Style Transfer (Q)
|
100% |
24278
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3359
124.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4600
169.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3325
123.2 IPS |
|
|
Text Classification (SP)
|
100% |
2244
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3646
4.87 KIPS |
|
|
Text Classification (Q)
|
93% |
3609
4.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
1554
26.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3269
56.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3268
56.5 IPS |
