MacBook Pro (16-inch, 2021)
Geekbench AI Score
11821
Single Precision Score
12650
Half Precision Score
11357
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | nicknick1 |
| Upload Date | February 05 2025 05:47 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
5074
943.7 IPS |
|
|
Image Classification (HP)
|
100% |
5040
937.3 IPS |
|
|
Image Classification (Q)
|
97% |
4646
867.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
10065
163.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
10245
166.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10461
169.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
56905
66.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
60336
70.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
55390
64.9 IPS |
|
|
Object Detection (SP)
|
100% |
5165
409.7 IPS |
|
|
Object Detection (HP)
|
100% |
5427
430.4 IPS |
|
|
Object Detection (Q)
|
91% |
4625
369.5 IPS |
|
|
Face Detection (SP)
|
100% |
21110
250.8 IPS |
|
|
Face Detection (HP)
|
100% |
22785
270.7 IPS |
|
|
Face Detection (Q)
|
100% |
16403
194.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
26069
200.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
27072
208.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
23165
181.0 IPS |
|
|
Style Transfer (SP)
|
100% |
96673
124.3 IPS |
|
|
Style Transfer (HP)
|
100% |
120190
154.5 IPS |
|
|
Style Transfer (Q)
|
96% |
112383
145.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16680
615.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16906
624.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13529
499.6 IPS |
|
|
Text Classification (SP)
|
100% |
2281
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3928
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3947
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1755
30.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1261
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1258
21.7 IPS |
