MacBook Pro (14-inch, 2021)
Geekbench AI Score
11559
Single Precision Score
12863
Half Precision Score
11394
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | mezorn26 |
| Upload Date | December 08 2024 09:38 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,4 |
| Motherboard | MacBookPro18,4 |
| 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% |
5086
945.8 IPS |
|
|
Image Classification (HP)
|
100% |
5158
959.3 IPS |
|
|
Image Classification (Q)
|
97% |
4519
843.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
10202
165.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
10551
171.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10585
171.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
57187
66.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
61112
71.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
55199
64.7 IPS |
|
|
Object Detection (SP)
|
100% |
5249
416.4 IPS |
|
|
Object Detection (HP)
|
100% |
5460
433.1 IPS |
|
|
Object Detection (Q)
|
91% |
4739
378.6 IPS |
|
|
Face Detection (SP)
|
100% |
21678
257.6 IPS |
|
|
Face Detection (HP)
|
100% |
22078
262.3 IPS |
|
|
Face Detection (Q)
|
100% |
16727
198.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
26542
204.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
28756
221.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
23280
181.9 IPS |
|
|
Style Transfer (SP)
|
100% |
96672
124.3 IPS |
|
|
Style Transfer (HP)
|
100% |
120560
155.0 IPS |
|
|
Style Transfer (Q)
|
96% |
113905
147.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16817
621.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17166
633.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14509
535.7 IPS |
|
|
Text Classification (SP)
|
100% |
2295
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4088
5.46 KIPS |
|
|
Text Classification (Q)
|
93% |
3994
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1274
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1272
21.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1147
19.8 IPS |
