MacBook Pro (14-inch, 2023)
Geekbench AI Score
4103
Single Precision Score
24542
Half Precision Score
27376
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | tntoak |
| Upload Date | September 27 2024 03:04 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5055e) |
| Model | MacBook Pro (14-inch, 2023) |
| Model ID | Mac14,5 |
| Motherboard | Mac14,5 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1361
253.1 IPS |
|
|
Image Classification (HP)
|
100% |
13529
2.52 KIPS |
|
|
Image Classification (Q)
|
96% |
15811
2.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1675
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19541
316.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24506
397.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12537
14.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
106078
123.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
104715
122.7 IPS |
|
|
Object Detection (SP)
|
100% |
1690
134.0 IPS |
|
|
Object Detection (HP)
|
99% |
15448
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
16769
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
3667
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
31782
377.6 IPS |
|
|
Face Detection (Q)
|
100% |
44062
523.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6245
48.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
87478
674.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
108321
846.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23811
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
202818
260.7 IPS |
|
|
Style Transfer (Q)
|
96% |
191398
247.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4908
181.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41218
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48659
1.80 KIPS |
|
|
Text Classification (SP)
|
100% |
2289
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3819
5.10 KIPS |
|
|
Text Classification (Q)
|
93% |
3813
5.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
4575
78.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2062
35.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2051
35.4 IPS |
